Upload 13 files

Browse files

Files changed (13) hide show

.gitattributes +1 -0
README.md +1385 -0
config.json +51 -0
measurement.json +0 -0
mergekit_config.yml +9 -0
model.safetensors.index.json +1 -0
output-00001-of-00004.safetensors +3 -0
output-00002-of-00004.safetensors +3 -0
output-00003-of-00004.safetensors +3 -0
output-00004-of-00004.safetensors +3 -0
special_tokens_map.json +16 -0
tokenizer.json +3 -0
tokenizer_config.json +2062 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md ADDED Viewed

	@@ -0,0 +1,1385 @@

+---
+base_model:
+- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
+- SicariusSicariiStuff/Negative_LLAMA_70B
+- TheDrummer/Anubis-70B-v1
+- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
+- deepseek-ai/DeepSeek-R1-Distill-Llama-70B
+- Sao10K/L3.3-70B-Euryale-v2.3
+library_name: transformers
+tags:
+- mergekit
+- merge
+model-index:
+- name: L3.3-Nevoria-R1-70b
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: wis-k/instruction-following-eval
+      split: train
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 60.24
+      name: averaged accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: SaylorTwift/bbh
+      split: test
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 56.17
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: lighteval/MATH-Hard
+      split: test
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 46.68
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      split: train
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 29.19
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 20.19
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 49.59
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Steelskull%2FL3.3-Nevoria-R1-70b
+      name: Open LLM Leaderboard
+---
+<!DOCTYPE html>
+<style>
+ebody {
+  font-family: 'Quicksand', sans-serif;
+  background: linear-gradient(135deg, #FF69B4 0%, #800080 100%);
+  color: #FFFFFF;
+  margin: 0;
+  padding: 0;
+  font-size: 16px;
+  min-height: 100vh;
+}
+.container {
+  margin: 20px;
+  background-color: rgba(28, 14, 36, 0.95);
+  padding: 20px;
+  border-radius: 12px;
+  box-shadow: 0 4px 20px rgba(255, 105, 180, 0.4);
+  border: 1px solid rgba(255, 105, 180, 0.4);
+  outline: 1px solid rgba(255, 105, 180, 0.7);
+  outline-offset: -1px;
+  position: relative;
+  backdrop-filter: blur(10px);
+}
+.container::before {
+  content: '';
+  position: absolute;
+  top: -1px;
+  left: -1px;
+  right: -1px;
+  bottom: -1px;
+  border: 1px solid rgba(255, 105, 180, 0.98);
+  border-radius: 12px;
+  pointer-events: none;
+  animation: borderGlow 2s ease-in-out infinite;
+}
+@keyframes borderGlow {
+  0% {
+    box-shadow: 0 0 5px rgba(255, 105, 180, 0.98);
+  }
+  50% {
+    box-shadow: 0 0 20px rgba(255, 105, 180, 0.98);
+  }
+  100% {
+    box-shadow: 0 0 5px rgba(255, 105, 180, 0.98);
+  }
+}
+.header h1 {
+  font-size: 28px;
+  color: #FF69B4;
+  margin: 0 0 20px 0;
+  text-shadow: 0 0 15px rgba(255, 105, 180, 0.8);
+  letter-spacing: 1px;
+}
+.update-section {
+  margin-top: 30px;
+}
+.update-section h2, h2 {
+  font-size: 24px;
+  color: #FF69B4;
+  text-shadow: 0 0 15px rgba(255, 105, 180, 0.8);
+  letter-spacing: 0.5px;
+}
+.update-section p {
+  font-size: 16px;
+  line-height: 1.6;
+  color: #FFE1FF;
+}
+.info p {
+  color: #FFE1FF;
+  line-height: 1.6;
+  font-size: 16px;
+}
+.info img {
+  width: 100%;
+  border-radius: 10px;
+  margin-bottom: 15px;
+  box-shadow: 0 0 30px rgba(255, 105, 180, 0.5);
+  border: 1px solid rgba(255, 105, 180, 0.4);
+  outline: 1px solid rgba(255, 105, 180, 0.7);
+  outline-offset: -1px;
+  transition: transform 0.3s ease, box-shadow 0.3s ease;
+}
+.info img:hover {
+  transform: scale(1.01);
+  box-shadow: 0 0 40px rgba(255, 105, 180, 0.6);
+}
+a {
+  color: #00FFEE;
+  text-decoration: none;
+  transition: color 0.3s ease;
+}
+a:hover {
+  color: #FF1493;
+}
+.button {
+  display: inline-block;
+  background: linear-gradient(45deg, rgba(255, 105, 180, 0.9), rgba(128, 0, 128, 0.9));
+  color: #FFFFFF;
+  padding: 12px 24px;
+  border-radius: 5px;
+  cursor: pointer;
+  text-decoration: none;
+  transition: all 0.3s ease;
+  border: 1px solid rgba(255, 105, 180, 0.4);
+}
+.button:hover {
+  background: linear-gradient(45deg, rgba(255, 105, 180, 1), rgba(128, 0, 128, 1));
+  box-shadow: 0 0 20px rgba(255, 105, 180, 0.7);
+  transform: translateY(-2px);
+}
+pre {
+  background-color: rgba(28, 14, 36, 0.95);
+  padding: 15px;
+  border-radius: 5px;
+  overflow-x: auto;
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  outline: 1px solid rgba(255, 20, 147, 0.6);
+  outline-offset: -1px;
+}
+code {
+  font-family: 'Courier New', monospace;
+  color: #FFE1FF;
+}
+.benchmark-container {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 12px;
+  padding: 20px;
+  margin: 20px 0;
+  position: relative;
+  overflow: hidden;
+}
+.benchmark-container::before {
+  content: '';
+  position: absolute;
+  top: -1px;
+  left: -1px;
+  right: -1px;
+  bottom: -1px;
+  border: 1px solid rgba(255, 20, 147, 0.98);
+  border-radius: 12px;
+  pointer-events: none;
+  animation: borderGlow 2s ease-in-out infinite;
+}
+.benchmark-grid {
+  display: grid;
+  grid-template-columns: repeat(4, 1fr);
+  gap: 15px;
+}
+.metric-box {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 15px;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  text-align: center;
+  transition: transform 0.3s ease, box-shadow 0.3s ease;
+}
+.metric-box:hover {
+  transform: translateY(-2px);
+  box-shadow: 0 4px 15px rgba(255, 20, 147, 0.3);
+}
+.metric-box .label {
+  color: #00FFEE;
+  font-size: 14px;
+  margin-bottom: 8px;
+  font-weight: 500;
+}
+.metric-box .value {
+  color: #FFE1FF;
+  font-size: 18px;
+  font-weight: 600;
+  text-shadow: 0 0 5px rgba(255, 20, 147, 0.5);
+}
+.metrics-section {
+  margin-bottom: 30px;
+}
+.metrics-section details {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 15px;
+  margin-bottom: 15px;
+}
+.metrics-section summary {
+  color: #FF1493;
+  font-size: 20px;
+  cursor: pointer;
+  text-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
+  outline: none;
+  padding: 5px 0;
+}
+.metrics-section summary::-webkit-details-marker {
+  display: none;
+}
+.core-metrics-grid {
+  display: grid;
+  grid-template-columns: repeat(4, 1fr);
+  gap: 15px;
+  margin-bottom: 20px;
+}
+.progress-metrics {
+  display: grid;
+  gap: 15px;
+}
+.progress-metric {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 15px;
+  transition: transform 0.3s ease;
+}
+.progress-metric:hover {
+  transform: translateY(-2px);
+}
+.progress-label {
+  display: flex;
+  justify-content: space-between;
+  margin-bottom: 8px;
+  color: #00FFEE;
+  font-size: 14px;
+}
+.progress-value {
+  color: #FFE1FF;
+}
+.progress-bar {
+  width: 100%;
+  height: 8px;
+  background: rgba(0, 0, 0, 0.3);
+  border: 1px solid rgba(255, 20, 147, 0.15);
+  border-radius: 4px;
+  position: relative;
+  margin: 10px 0;
+  overflow: hidden;
+}
+.progress-fill {
+  height: 100%;
+  background: linear-gradient(90deg, #FF69B4 0%, #800080 100%);
+  border-radius: 4px;
+  transition: width 1s ease-in-out;
+  box-shadow: 0 0 15px rgba(255, 105, 180, 0.4);
+}
+.progress-bar.split {
+  display: flex;
+  justify-content: center;
+  background: rgba(0, 0, 0, 0.3);
+  border: 1px solid rgba(255, 20, 147, 0.15);
+  overflow: visible;
+}
+.progress-fill-left {
+  height: 100%;
+  position: absolute;
+  right: 50%;
+  background: linear-gradient(90deg, #FF69B4 30%, rgba(255, 105, 180, 0.5) 100%);
+  border-radius: 4px 0 0 4px;
+  transition: width 0.3s ease-in-out;
+}
+.progress-fill-right {
+  height: 100%;
+  position: absolute;
+  left: 50%;
+  background: linear-gradient(90deg, rgba(128, 0, 128, 0.5) 0%, #800080 70%);
+  border-radius: 0 4px 4px 0;
+  transition: width 0.3s ease-in-out;
+}
+.progress-metric.split .progress-bar::before,
+.progress-metric.split .progress-bar::after {
+  content: '';
+  position: absolute;
+  width: 2px;
+  height: 20px;
+  background: rgba(255, 255, 255, 0.7);
+  top: 50%;
+  transform: translateY(-50%);
+  z-index: 2;
+  box-shadow: 0 0 8px rgba(255, 255, 255, 0.5);
+}
+.progress-metric.split .progress-bar::before {
+  left: 0;
+}
+.progress-metric.split .progress-bar::after {
+  right: 0;
+}
+.progress-metric.split:hover .progress-fill-left {
+  box-shadow: 0 0 15px rgba(255, 20, 147, 0.5);
+}
+.progress-metric.split:hover .progress-fill-right {
+  box-shadow: 0 0 15px rgba(75, 0, 130, 0.5);
+}
+.progress-metric.split {
+  padding: 12px 15px;
+}
+.progress-metric.split .progress-label {
+  margin-bottom: 8px;
+  gap: 12px;
+}
+.progress-metric.split .progress-label span:first-child,
+.progress-metric.split .progress-label span:last-child {
+  flex: 0 0 80px;
+  font-size: 14px;
+}
+.progress-metric.split .progress-value {
+  font-weight: 600;
+  text-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
+  font-size: 14px;
+  min-width: 60px;
+  text-align: center;
+}
+.progress-metric:hover .progress-fill-center {
+  box-shadow: 0 0 15px rgba(255, 20, 147, 0.5);
+}
+.progress-label {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  margin-bottom: 4px;
+  color: #00FFEE;
+  font-size: 14px;
+}
+.progress-metric:not(.split) .progress-label {
+  gap: 12px;
+}
+.progress-metric:not(.split) .progress-label span {
+  flex: 0 0 auto;
+}
+.progress-metric:not(.split) .progress-value {
+  color: #FFE1FF;
+}
+.progress-metric.split .progress-label {
+  gap: 20px;
+}
+.progress-metric.split .progress-label span:first-child,
+.progress-metric.split .progress-label span:last-child {
+  flex: 0 0 80px;
+}
+.progress-metric.split .progress-label span:first-child {
+  text-align: right;
+}
+.progress-metric.split .progress-label span:last-child {
+  text-align: left;
+}
+.progress-metric.split .progress-value {
+  color: #FFE1FF;
+  flex: 0 0 60px;
+  text-align: center;
+}
+.progress-metric:hover .progress-fill {
+  box-shadow: 0 0 15px rgba(255, 20, 147, 0.5);
+}
+.progress-metric:hover .progress-fill-center {
+  box-shadow: 0 0 15px rgba(75, 0, 130, 0.5);
+}
+.info-grid {
+  display: grid;
+  grid-template-columns: repeat(3, 1fr);
+  gap: 15px;
+}
+.creator-section {
+  margin: 20px 0;
+}
+.creator-badge {
+  display: inline-flex;
+  align-items: center;
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 10px 15px;
+}
+.creator-label {
+  color: #FFE1FF;
+  font-size: 14px;
+  margin-right: 8px;
+}
+.creator-link {
+  display: flex;
+  align-items: center;
+  gap: 5px;
+  color: #00FFEE;
+  text-decoration: none;
+  transition: all 0.3s ease;
+}
+.creator-name {
+  font-weight: 600;
+}
+.creator-arrow {
+  font-size: 16px;
+  transition: transform 0.3s ease;
+}
+.creator-link:hover {
+  color: #FF1493;
+}
+.creator-link:hover .creator-arrow {
+  transform: translateX(3px);
+}
+.model-info {
+  margin-top: 30px;
+}
+.name-legend {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 20px;
+  margin: 20px 0;
+}
+.name-legend h3 {
+  color: #FF1493;
+  font-size: 18px;
+  margin: 0 0 15px 0;
+}
+.legend-grid {
+  display: grid;
+  gap: 12px;
+}
+.legend-item {
+  display: flex;
+  align-items: baseline;
+  gap: 10px;
+}
+.legend-key {
+  color: #00FFEE;
+  font-weight: 600;
+  min-width: 80px;
+}
+.legend-value {
+  color: #FFE1FF;
+}
+.model-description {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 20px;
+}
+.model-description p {
+  margin: 0 0 15px 0;
+  line-height: 1.6;
+}
+.model-description p:last-child {
+  margin-bottom: 0;
+}
+.section-container {
+  margin: 40px 0;
+}
+.info-card {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  overflow: hidden;
+}
+.info-header {
+  background: rgba(255, 20, 147, 0.1);
+  padding: 20px;
+  border-bottom: 1px solid rgba(255, 20, 147, 0.3);
+}
+.info-header h3 {
+  color: #FF1493;
+  margin: 0 0 10px 0;
+  font-size: 20px;
+  text-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
+}
+.model-tags {
+  display: flex;
+  gap: 8px;
+  flex-wrap: wrap;
+}
+.model-tag {
+  background: rgba(0, 255, 238, 0.1);
+  color: #00FFEE;
+  padding: 4px 8px;
+  border-radius: 4px;
+  font-size: 12px;
+  border: 1px solid rgba(0, 255, 238, 0.2);
+}
+.model-composition {
+  padding: 20px;
+  border-bottom: 1px solid rgba(255, 20, 147, 0.3);
+}
+.model-composition h4 {
+  color: #FF1493;
+  margin: 0 0 15px 0;
+  font-size: 16px;
+}
+.composition-list {
+  list-style: none;
+  padding: 0;
+  margin: 0;
+  display: grid;
+  gap: 10px;
+}
+.composition-list li {
+  color: #FFE1FF;
+  display: flex;
+  align-items: baseline;
+  gap: 8px;
+}
+.model-component {
+  color: #00FFEE;
+  font-weight: 500;
+  min-width: 120px;
+}
+.template-card {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 15px;
+}
+.template-item {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+}
+.template-icon {
+  width: 24px;
+  height: 24px;
+  opacity: 0.8;
+}
+.template-content {
+  display: flex;
+  align-items: baseline;
+  gap: 8px;
+}
+.template-link {
+  color: #00FFEE;
+  text-decoration: none;
+  font-weight: 500;
+  display: flex;
+  align-items: center;
+  gap: 5px;
+}
+.template-author {
+  color: rgba(255, 225, 255, 0.7);
+  font-size: 14px;
+}
+.quantized-container {
+  display: grid;
+  gap: 20px;
+}
+.quantized-section {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 20px;
+}
+.quantized-section h3 {
+  color: #FF1493;
+  font-size: 18px;
+  margin: 0 0 15px 0;
+}
+.quantized-items {
+  display: grid;
+  gap: 12px;
+}
+.quantized-item {
+  display: flex;
+  align-items: baseline;
+  gap: 10px;
+}
+.quantized-item .author {
+  color: rgba(255, 225, 255, 0.7);
+  min-width: 100px;
+}
+.multi-links {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+}
+.separator {
+  color: rgba(255, 225, 255, 0.5);
+}
+.config-container {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  overflow: hidden;
+}
+.config-header {
+  background: rgba(255, 20, 147, 0.1);
+  padding: 15px 20px;
+  border-bottom: 1px solid rgba(255, 20, 147, 0.3);
+}
+.model-name {
+  color: #FF1493;
+  font-weight: 600;
+}
+.config-content {
+  padding: 20px;
+}
+.config-item {
+  display: flex;
+  flex-direction: column;
+  gap: 5px;
+  margin-bottom: 15px;
+}
+.config-label {
+  color: #00FFEE;
+  font-size: 14px;
+  font-weight: 500;
+}
+.config-value {
+  color: #FFE1FF;
+  font-family: 'Courier New', monospace;
+}
+.config-models {
+  margin-top: 20px;
+}
+.model-list {
+  list-style: none;
+  padding: 0;
+  margin: 10px 0 0 0;
+}
+.model-list li {
+  color: #FFE1FF;
+  font-family: 'Courier New', monospace;
+  padding: 5px 0;
+  padding-left: 20px;
+  position: relative;
+}
+.model-list li::before {
+  content: '-';
+  position: absolute;
+  left: 0;
+  color: #00FFEE;
+}
+.link-arrow {
+  display: inline-block;
+  transition: transform 0.3s ease;
+}
+a:hover .link-arrow {
+  transform: translateX(3px);
+}
+.benchmark-notification {
+  background: rgba(255, 20, 147, 0.15);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  margin-bottom: 20px;
+  padding: 12px;
+  animation: glowPulse 2s infinite;
+}
+.notification-content {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  gap: 10px;
+  text-align: center;
+}
+.notification-icon {
+  font-size: 20px;
+}
+.notification-text {
+  color: #FFE1FF;
+  font-size: 16px;
+  font-weight: 500;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  gap: 5px;
+}
+.benchmark-link {
+  color: #00FFEE;
+  text-decoration: none;
+  font-size: 14px;
+  padding: 4px 8px;
+  border-radius: 4px;
+  transition: all 0.3s ease;
+  border: 1px solid rgba(0, 255, 238, 0.3);
+}
+.benchmark-link:hover {
+  background: rgba(0, 255, 238, 0.1);
+  border-color: rgba(0, 255, 238, 0.5);
+  color: #00FFEE;
+  text-shadow: 0 0 5px rgba(0, 255, 238, 0.5);
+}
+@keyframes glowPulse {
+  0% {
+    box-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
+  }
+  50% {
+    box-shadow: 0 0 15px rgba(255, 20, 147, 0.5);
+  }
+  100% {
+    box-shadow: 0 0 5px rgba(255, 20, 147, 0.3);
+  }
+}
+.review-card {
+  background: rgba(28, 14, 36, 0.95);
+  border: 1px solid rgba(255, 20, 147, 0.3);
+  border-radius: 8px;
+  padding: 15px;
+  margin-bottom: 15px;
+}
+.review-card:last-child {
+  margin-bottom: 0;
+}
+</style>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>L3.3-Nevoria-R1-70b</title>
+  <link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
+  <link href="styles.css" rel="stylesheet">
+</head>
+<body>
+  <div class="container">
+    <div class="header">
+      <h1>L3.3-Nevoria-R1-70b</h1>
+    </div>
+    <div class="info">
+      <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/_oWpsvCZ-graNKzJBBjGo.jpeg" alt="Model banner">
+      <div class="creator-section">
+        <div class="creator-badge">
+          <span class="creator-label">Created by</span>
+          <a href="https://huggingface.co/Steelskull" target="_blank" class="creator-link">
+            <span class="creator-name">SteelSkull</span>
+            <span class="creator-arrow">→</span>
+          </a>
+        </div>
+      </div>
+      <div class="model-info">
+        <h2>Model Information</h2>
+        <div class="info-card">
+          <div class="info-header">
+            <h3>L3.3-Nevoria-R1-70b</h3>
+            <div class="model-tags">
+              <span class="model-tag">L3.3 = Llama 3.3</span>
+              <span class="model-tag">R1 = DeepSeek-R1</span>
+              <span class="model-tag">70b Parameters</span>
+            </div>
+          </div>
+          <div class="model-composition">
+            <h4>Model Composition</h4>
+            <ul class="composition-list">
+              <li><span class="model-component"><a href="https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1" target="_blank">EVA-LLAMA-0.1</a></span> Storytelling capabilities</li>
+              <li><span class="model-component"><a href="https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3" target="_blank">EURYALE-v2.3</a></span> Detailed scene descriptions</li>
+              <li><span class="model-component"><a href="https://huggingface.co/TheDrummer/Anubis-70B-v1" target="_blank">Anubis-v1</a></span> Enhanced prose details</li>
+              <li><span class="model-component"><a href="https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B" target="_blank">Negative_LLAMA</a></span> Reduced positive bias</li>
+              <li><span class="model-component"><a href="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B" target="_blank">DeepSeek-R1-Distill-Llama-70B</a></span> Increased Intelligence / Dialog / Awareness</li>
+              <li><span class="model-component base-model"><a href="https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B" target="_blank">Nemotron-lorablated</a></span> Base model</li>
+            </ul>
+          </div>
+          <div class="model-description">
+            <p>This model builds upon the original Nevoria foundation, incorporating the Deepseek-R1 reasoning architecture to enhance dialogue interaction and scene comprehension. While maintaining Nevoria's core strengths in storytelling and scene description (derived from EVA, EURYALE, and Anubis), this iteration aims to improve prompt adherence and creative reasoning capabilities. The model also retains the balanced perspective introduced by Negative_LLAMA and Nemotron elements. Also, the model plays the card to almost a fault, It'll pick up on minor issues and attempt to run with them. Users had it call them out for misspelling a word while playing in character. </p>
+            <p>Note: While Nevoria-R1 represents a significant architectural change, rather than a direct successor to Nevoria, it operates as a distinct model with its own characteristics.</p>
+            <p>The lorablated model base choice was intentional, creating unique weight interactions similar to the original <a href="https://huggingface.co/Steelskull/L3-MS-Astoria-70b" target="_blank">Astoria model</a> and <a href="https://huggingface.co/Steelskull/L3.1-MS-Astoria-70b-v2" target="_blank">Astoria V2 model</a>. This "weight twisting" effect, achieved by subtracting the lorablated base model during merging, creates an interesting balance in the model's behavior. While unconventional compared to sequential component application, this approach was chosen for its unique response characteristics.</p>
+          </div>
+        </div>
+        <!--<div class="metrics-section">
+          <details open>
+            <summary>User Reviews</summary>
+            <div class="progress-metrics">
+              <div>
+                <div class="review-card">
+                  <div>
+                    <span>@Geechan - Discord</span>
+                  </div>
+                  <p>@Steel Have only briefly tested so far, but you really cooked up an amazing merge with this one, and I mean that wholeheartedly. Insane creativity, perfect character adherence and dialogue, loves to slow burn and take its time, minimal sloppy patterns and writing, and such a breath of fresh air in many ways. I'm enjoying my results with 1 temp and 0.99 TFS (close to something like 0.015 min P). Letting the model be creative and wild is so fun and makes me want to RP more.<br><br>No positivity bias either; violent scenes will result in my death and/or suffering, as they should, and I don't see any soft refusals either. ERP has no skimming of details or refusals like you see on some other L3.3 tunes too</p>
+                </div>
+                <div class="review-card">
+                  <div>
+                    <span>IGODZOL - Huggingface</span>
+                  </div>
+                  <p>I honestly have no idea why (maybe the negative llama is having that great of an influence) but this merge is miles above the individual tunes that went into making it. Good sir, this model has just become my daily driver. Chapeau bas</p>
+                </div>
+                <div class="review-card">
+                  <div>
+                    <span>@thana_alt - Discord</span>
+                  </div>
+                  <p>I'm thoroughly impressed by this merge of Llama 3.3. It successfully addresses the positivity bias prevalent in the base Llama model, ensuring a more accurate and balanced response. The adherence to system prompts is also notable, with the model demonstrating a keen understanding of context and instruction.<br><br>The prose generated by this model is truly exceptional - it's almost as if a skilled chef has carefully crafted each sentence to create a rich and immersive experience. I put this to the test in an adventure scenario, where I had about 10,000 tokens of lorebooks and was managing nine characters simultaneously. Despite the complexity, the model performed flawlessly, keeping track of each character's location and activity without any confusion - even when they were in different locations.<br><br>I also experimented with an astral projection type of power, and was impressed to see that the model accurately discerned that I wasn't physically present in a particular location. Another significant advantage of this model is the lack of impersonation issues, allowing for seamless role-playing and storytelling.<br><br>The capacity of this model is equally impressive, as I was able to load up to 110,000 tokens without encountering any issues. In fact, I successfully tested it with up to 70,000 tokens without experiencing any breakdown or degradation in performance.<br><br>When combined with the "The Inception Presets - Methception Llamaception Qwenception" prompt preset from https://huggingface.co/Konnect1221/ , this model truly shines, bringing out the best in the Llama 3.3 architecture. Overall, I'm extremely satisfied with this merge and would highly recommend it to anyone looking to elevate their storytelling and role-playing experiences.</p>
+                </div>
+              </div>
+            </div>
+          </details>
+        </div>-->
+      </div>
+      <!-- UGI-Benchmark Results (Temporarily Hidden)
+      <h2>UGI-Benchmark Results:</h2>
+      <div class="benchmark-container">
+        <div class="benchmark-notification">
+          <div class="notification-content">
+            <span class="notification-icon">🏆</span>
+            <span class="notification-text">
+              Highest ranked 70b as of 01/17/2025.
+              <a href="https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard" target="_blank" class="benchmark-link">
+                View Full Leaderboard →
+              </a>
+            </span>
+          </div>
+        </div>
+        <div class="metrics-section">
+          <h3>Core Metrics</h3>
+          <div class="core-metrics-grid">
+            <div class="metric-box">
+              <span class="label">UGI Score</span>
+              <span class="value">56.75</span>
+            </div>
+            <div class="metric-box">
+              <span class="label">Willingness Score</span>
+              <span class="value">7.5/10</span>
+            </div>
+            <div class="metric-box">
+              <span class="label">Natural Intelligence</span>
+              <span class="value">41.09</span>
+            </div>
+            <div class="metric-box">
+              <span class="label">Coding Ability</span>
+              <span class="value">20</span>
+            </div>
+          </div>
+        </div>
+        <div class="metrics-section">
+          <h3>Model Information</h3>
+          <div class="info-grid">
+            <div class="metric-box">
+              <span class="label">Political Lean</span>
+              <span class="value">-8.1%</span>
+            </div>
+            <div class="metric-box">
+              <span class="label">Ideology</span>
+              <span class="value">Liberalism</span>
+            </div>
+            <div class="metric-box">
+              <span class="label">Parameters</span>
+              <span class="value">70B</span>
+            </div>
+          </div>
+        </div>
+        <div class="metrics-section">
+          <details>
+            <summary>Aggregated Scores</summary>
+            <div class="progress-metrics">
+              <div class="progress-metric">
+                <div class="progress-label">
+                  <span>Diplomacy</span>
+                  <span class="progress-value">61.9%</span>
+                </div>
+                <div class="progress-bar">
+                  <div class="progress-fill" style="width: 61.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric">
+                <div class="progress-label">
+                  <span>Government</span>
+                  <span class="progress-value">45.9%</span>
+                </div>
+                <div class="progress-bar">
+                  <div class="progress-fill" style="width: 45.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric">
+                <div class="progress-label">
+                  <span>Economy</span>
+                  <span class="progress-value">43.9%</span>
+                </div>
+                <div class="progress-bar">
+                  <div class="progress-fill" style="width: 43.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric">
+                <div class="progress-label">
+                  <span>Society</span>
+                  <span class="progress-value">60.1%</span>
+                </div>
+                <div class="progress-bar">
+                  <div class="progress-fill" style="width: 60.1%"></div>
+                </div>
+              </div>
+            </div>
+          </details>
+        </div>
+        <div class="metrics-section">
+          <details>
+            <summary>Individual Scores</summary>
+            <div class="progress-metrics">
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Federal</span>
+                  <span class="progress-value">44.2%</span>
+                  <span>Unitary</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 22.1%"></div>
+                  <div class="progress-fill-right" style="width: 27.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Democratic</span>
+                  <span class="progress-value">66.2%</span>
+                  <span>Autocratic</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 33.1%"></div>
+                  <div class="progress-fill-right" style="width: 16.9%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Security</span>
+                  <span class="progress-value">48.1%</span>
+                  <span>Freedom</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 24.05%"></div>
+                  <div class="progress-fill-right" style="width: 25.95%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Nationalism</span>
+                  <span class="progress-value">40.4%</span>
+                  <span>Int'l</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 20.2%"></div>
+                  <div class="progress-fill-right" style="width: 29.8%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Militarist</span>
+                  <span class="progress-value">30.4%</span>
+                  <span>Pacifist</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 15.2%"></div>
+                  <div class="progress-fill-right" style="width: 34.8%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Assimilationist</span>
+                  <span class="progress-value">43.3%</span>
+                  <span>Multiculturalist</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 21.65%"></div>
+                  <div class="progress-fill-right" style="width: 28.35%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Collectivize</span>
+                  <span class="progress-value">43.8%</span>
+                  <span>Privatize</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 21.9%"></div>
+                  <div class="progress-fill-right" style="width: 28.1%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Planned</span>
+                  <span class="progress-value">43.1%</span>
+                  <span>LaissezFaire</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 21.55%"></div>
+                  <div class="progress-fill-right" style="width: 28.45%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Isolationism</span>
+                  <span class="progress-value">44.8%</span>
+                  <span>Globalism</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 22.4%"></div>
+                  <div class="progress-fill-right" style="width: 27.6%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Irreligious</span>
+                  <span class="progress-value">55.4%</span>
+                  <span>Religious</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 27.7%"></div>
+                  <div class="progress-fill-right" style="width: 22.3%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Progressive</span>
+                  <span class="progress-value">59.6%</span>
+                  <span>Traditional</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 29.8%"></div>
+                  <div class="progress-fill-right" style="width: 20.2%"></div>
+                </div>
+              </div>
+              <div class="progress-metric split">
+                <div class="progress-label">
+                  <span>Acceleration</span>
+                  <span class="progress-value">65.2%</span>
+                  <span>Bioconservative</span>
+                </div>
+                <div class="progress-bar split">
+                  <div class="progress-fill-left" style="width: 32.6%"></div>
+                  <div class="progress-fill-right" style="width: 17.4%"></div>
+                </div>
+              </div>
+            </div>
+          </details>
+        </div>
+      </div>
+      -->
+      <h2>Open LLM-Benchmark Results:</h2>
+      <div class="benchmark-container">
+        <div class="benchmark-notification">
+          <div class="notification-content">
+            <span class="notification-text">
+              Average Score: 43.68%
+              <a href="https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?rankingMode=dynamic" target="_blank" class="benchmark-link">
+                View Full Leaderboard →
+              </a>
+            </span>
+          </div>
+        </div>
+        <div class="progress-metrics">
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>IFEval</span>
+              <span class="progress-value">60.24%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 60.24%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>BBH</span>
+              <span class="progress-value">56.17%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 56.17%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>MATH</span>
+              <span class="progress-value">46.68%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 46.68%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>GPQA</span>
+              <span class="progress-value">29.19%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 29.19%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>MUSR</span>
+              <span class="progress-value">20.19%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 20.19%"></div>
+            </div>
+          </div>
+          <div class="progress-metric">
+            <div class="progress-label">
+              <span>MMLU-Pro</span>
+              <span class="progress-value">49.59%</span>
+            </div>
+            <div class="progress-bar">
+              <div class="progress-fill" style="width: 49.59%"></div>
+            </div>
+          </div>
+        </div>
+      </div>
+      <div class="section-container">
+        <h2>Reccomended Templates & Prompts</h2>
+        <div class="template-card">
+          <div class="template-item">
+            <div class="template-content">
+              <a href="https://huggingface.co/Konnect1221/Methception-Llamaception-SillyTavern-Preset" target="_blank" class="template-link">
+                LLam@ception
+                <span class="link-arrow">→</span>
+              </a>
+              <span class="template-author">by @.konnect</span>
+            </div>
+          </div>
+        </div>
+      </div>
+      <div class="section-container">
+        <h2>Quantized Versions</h2>
+        <div class="quantized-container">
+          <div class="quantized-section">
+            <h3>GGUF Quantizations</h3>
+            <div class="quantized-items">
+              <div class="quantized-item">
+                <span class="author">bartowski</span>
+                <a href="https://huggingface.co/bartowski/L3.3-Nevoria-R1-70b-GGUF" target="_blank">
+                  Combined-GGUF
+                  <span class="link-arrow">→</span>
+                </a>
+              </div>
+              <div class="quantized-item">
+                <span class="author">mradermacher</span>
+                <div class="multi-links">
+                  <a href="https://huggingface.co/mradermacher/L3.3-Nevoria-R1-70b-GGUF" target="_blank">
+                    GGUF
+                    <span class="link-arrow">→</span>
+                  </a>
+                  <span class="separator">//</span>
+                  <a href="https://huggingface.co/mradermacher/L3.3-Nevoria-R1-70b-i1-GGUF" target="_blank">
+                    Imat-GGUF
+                    <span class="link-arrow">→</span>
+                  </a>
+                </div>
+              </div>
+            </div>
+          </div>
+          <div class="quantized-section">
+            <h3>EXL2 Quantizations</h3>
+            <div class="quantized-items">
+              <div class="quantized-item">
+                <span class="author">Darkhn</span>
+                <a href="https://huggingface.co/Darkhn/Steelskull_L3.3-Exp-Nevoria-R1-70b-6.0bpw-h8-exl2" target="_blank">
+                  6.0BPW-EXL2
+                  <span class="link-arrow">→</span>
+                </a>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+      <div class="support-section">
+        <h2>Support the Project:</h2>
+        <a href="https://ko-fi.com/Y8Y0AO2XE" target="_blank" class="button">
+          Support on Ko-fi
+        </a>
+      </div>
+    </div>
+  </div>
+</body>
+</html>

config.json ADDED Viewed

	@@ -0,0 +1,51 @@

+{
+    "_name_or_path": "nbeerbower/Llama-3.1-Nemotron-lorablated-70B",
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 128000,
+    "eos_token_id": [
+        128001,
+        128008,
+        128009
+    ],
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 8192,
+    "initializer_range": 0.02,
+    "intermediate_size": 28672,
+    "max_position_embeddings": 131072,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 64,
+    "num_hidden_layers": 80,
+    "num_key_value_heads": 8,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": {
+        "factor": 8.0,
+        "high_freq_factor": 4.0,
+        "low_freq_factor": 1.0,
+        "original_max_position_embeddings": 8192,
+        "rope_type": "llama3"
+    },
+    "rope_theta": 500000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.46.2",
+    "use_cache": true,
+    "vocab_size": 128256,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.7",
+        "bits": 3.65,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

measurement.json ADDED Viewed

The diff for this file is too large to render. See raw diff

mergekit_config.yml ADDED Viewed

	@@ -0,0 +1,9 @@

+base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
+merge_method: model_stock
+dtype: bfloat16
+models:
+  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
+  - model: Sao10K/L3.3-70B-Euryale-v2.3
+  - model: TheDrummer/Anubis-70B-v1
+  - model: SicariusSicariiStuff/Negative_LLAMA_70B
+  - model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B

model.safetensors.index.json ADDED Viewed

	@@ -0,0 +1 @@

+ {"metadata": {"mergekit_version": "0.0.5.1", "total_size": 141107412992}, "weight_map": {"lm_head.weight": "model-00001-of-00030.safetensors", "model.embed_tokens.weight": "model-00001-of-00030.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00030.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00030.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00030.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00002-of-00030.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00002-of-00030.safetensors", "model.layers.1.input_layernorm.weight": "model-00002-of-00030.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00002-of-00030.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00002-of-00030.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00002-of-00030.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00030.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00002-of-00030.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00002-of-00030.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00002-of-00030.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00002-of-00030.safetensors", "model.layers.10.input_layernorm.weight": "model-00002-of-00030.safetensors", "model.layers.10.mlp.down_proj.weight": "model-00002-of-00030.safetensors", "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00030.safetensors", "model.layers.10.mlp.up_proj.weight": "model-00002-of-00030.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00030.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00030.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00030.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00030.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00030.safetensors", "model.layers.11.input_layernorm.weight": "model-00002-of-00030.safetensors", "model.layers.11.mlp.down_proj.weight": "model-00003-of-00030.safetensors", "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00030.safetensors", "model.layers.11.mlp.up_proj.weight": "model-00003-of-00030.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00030.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00030.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00030.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00030.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00030.safetensors", "model.layers.12.input_layernorm.weight": "model-00003-of-00030.safetensors", "model.layers.12.mlp.down_proj.weight": "model-00003-of-00030.safetensors", "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00030.safetensors", "model.layers.12.mlp.up_proj.weight": "model-00003-of-00030.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00030.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00030.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00030.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00030.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00030.safetensors", "model.layers.13.input_layernorm.weight": "model-00003-of-00030.safetensors", "model.layers.13.mlp.down_proj.weight": "model-00003-of-00030.safetensors", "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00030.safetensors", "model.layers.13.mlp.up_proj.weight": "model-00003-of-00030.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00030.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00030.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00030.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00004-of-00030.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00004-of-00030.safetensors", "model.layers.14.input_layernorm.weight": "model-00004-of-00030.safetensors", "model.layers.14.mlp.down_proj.weight": "model-00004-of-00030.safetensors", "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00030.safetensors", "model.layers.14.mlp.up_proj.weight": "model-00004-of-00030.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00030.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00030.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00030.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00030.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00030.safetensors", "model.layers.15.input_layernorm.weight": "model-00004-of-00030.safetensors", "model.layers.15.mlp.down_proj.weight": "model-00004-of-00030.safetensors", "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00030.safetensors", "model.layers.15.mlp.up_proj.weight": "model-00004-of-00030.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00030.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00030.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00030.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00030.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00030.safetensors", "model.layers.16.input_layernorm.weight": "model-00004-of-00030.safetensors", "model.layers.16.mlp.down_proj.weight": "model-00004-of-00030.safetensors", "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00030.safetensors", "model.layers.16.mlp.up_proj.weight": "model-00004-of-00030.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00030.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00030.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00005-of-00030.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00005-of-00030.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00005-of-00030.safetensors", "model.layers.17.input_layernorm.weight": "model-00005-of-00030.safetensors", "model.layers.17.mlp.down_proj.weight": "model-00005-of-00030.safetensors", "model.layers.17.mlp.gate_proj.weight": "model-00005-of-00030.safetensors", "model.layers.17.mlp.up_proj.weight": "model-00005-of-00030.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00005-of-00030.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00005-of-00030.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00005-of-00030.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00005-of-00030.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00005-of-00030.safetensors", "model.layers.18.input_layernorm.weight": "model-00005-of-00030.safetensors", "model.layers.18.mlp.down_proj.weight": "model-00005-of-00030.safetensors", "model.layers.18.mlp.gate_proj.weight": "model-00005-of-00030.safetensors", "model.layers.18.mlp.up_proj.weight": "model-00005-of-00030.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00030.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00005-of-00030.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00005-of-00030.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00005-of-00030.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00005-of-00030.safetensors", "model.layers.19.input_layernorm.weight": "model-00005-of-00030.safetensors", "model.layers.19.mlp.down_proj.weight": "model-00005-of-00030.safetensors", "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00030.safetensors", "model.layers.19.mlp.up_proj.weight": "model-00006-of-00030.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00006-of-00030.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00006-of-00030.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00006-of-00030.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00006-of-00030.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00006-of-00030.safetensors", "model.layers.2.input_layernorm.weight": "model-00006-of-00030.safetensors", "model.layers.2.mlp.down_proj.weight": "model-00006-of-00030.safetensors", "model.layers.2.mlp.gate_proj.weight": "model-00006-of-00030.safetensors", "model.layers.2.mlp.up_proj.weight": "model-00006-of-00030.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00006-of-00030.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00006-of-00030.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00006-of-00030.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00006-of-00030.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00006-of-00030.safetensors", "model.layers.20.input_layernorm.weight": "model-00006-of-00030.safetensors", "model.layers.20.mlp.down_proj.weight": "model-00006-of-00030.safetensors", "model.layers.20.mlp.gate_proj.weight": "model-00006-of-00030.safetensors", "model.layers.20.mlp.up_proj.weight": "model-00006-of-00030.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00006-of-00030.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00006-of-00030.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00006-of-00030.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00006-of-00030.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00006-of-00030.safetensors", "model.layers.21.input_layernorm.weight": "model-00006-of-00030.safetensors", "model.layers.21.mlp.down_proj.weight": "model-00006-of-00030.safetensors", "model.layers.21.mlp.gate_proj.weight": "model-00007-of-00030.safetensors", "model.layers.21.mlp.up_proj.weight": "model-00007-of-00030.safetensors", "model.layers.21.post_attention_layernorm.weight": "model-00007-of-00030.safetensors", "model.layers.21.self_attn.k_proj.weight": "model-00007-of-00030.safetensors", "model.layers.21.self_attn.o_proj.weight": "model-00007-of-00030.safetensors", "model.layers.21.self_attn.q_proj.weight": "model-00007-of-00030.safetensors", "model.layers.21.self_attn.v_proj.weight": "model-00007-of-00030.safetensors", "model.layers.22.input_layernorm.weight": "model-00007-of-00030.safetensors", "model.layers.22.mlp.down_proj.weight": "model-00007-of-00030.safetensors", "model.layers.22.mlp.gate_proj.weight": "model-00007-of-00030.safetensors", "model.layers.22.mlp.up_proj.weight": "model-00007-of-00030.safetensors", "model.layers.22.post_attention_layernorm.weight": "model-00007-of-00030.safetensors", "model.layers.22.self_attn.k_proj.weight": "model-00007-of-00030.safetensors", "model.layers.22.self_attn.o_proj.weight": "model-00007-of-00030.safetensors", "model.layers.22.self_attn.q_proj.weight": "model-00007-of-00030.safetensors", "model.layers.22.self_attn.v_proj.weight": "model-00007-of-00030.safetensors", "model.layers.23.input_layernorm.weight": "model-00007-of-00030.safetensors", "model.layers.23.mlp.down_proj.weight": "model-00007-of-00030.safetensors", "model.layers.23.mlp.gate_proj.weight": "model-00007-of-00030.safetensors", "model.layers.23.mlp.up_proj.weight": "model-00007-of-00030.safetensors", "model.layers.23.post_attention_layernorm.weight": "model-00007-of-00030.safetensors", "model.layers.23.self_attn.k_proj.weight": "model-00007-of-00030.safetensors", "model.layers.23.self_attn.o_proj.weight": "model-00007-of-00030.safetensors", "model.layers.23.self_attn.q_proj.weight": "model-00007-of-00030.safetensors", "model.layers.23.self_attn.v_proj.weight": "model-00007-of-00030.safetensors", "model.layers.24.input_layernorm.weight": "model-00007-of-00030.safetensors", "model.layers.24.mlp.down_proj.weight": "model-00008-of-00030.safetensors", "model.layers.24.mlp.gate_proj.weight": "model-00008-of-00030.safetensors", "model.layers.24.mlp.up_proj.weight": "model-00008-of-00030.safetensors", "model.layers.24.post_attention_layernorm.weight": "model-00008-of-00030.safetensors", "model.layers.24.self_attn.k_proj.weight": "model-00008-of-00030.safetensors", "model.layers.24.self_attn.o_proj.weight": "model-00008-of-00030.safetensors", "model.layers.24.self_attn.q_proj.weight": "model-00008-of-00030.safetensors", "model.layers.24.self_attn.v_proj.weight": "model-00008-of-00030.safetensors", "model.layers.25.input_layernorm.weight": "model-00008-of-00030.safetensors", "model.layers.25.mlp.down_proj.weight": "model-00008-of-00030.safetensors", "model.layers.25.mlp.gate_proj.weight": "model-00008-of-00030.safetensors", "model.layers.25.mlp.up_proj.weight": "model-00008-of-00030.safetensors", "model.layers.25.post_attention_layernorm.weight": "model-00008-of-00030.safetensors", "model.layers.25.self_attn.k_proj.weight": "model-00008-of-00030.safetensors", "model.layers.25.self_attn.o_proj.weight": "model-00008-of-00030.safetensors", "model.layers.25.self_attn.q_proj.weight": "model-00008-of-00030.safetensors", "model.layers.25.self_attn.v_proj.weight": "model-00008-of-00030.safetensors", "model.layers.26.input_layernorm.weight": "model-00008-of-00030.safetensors", "model.layers.26.mlp.down_proj.weight": "model-00008-of-00030.safetensors", "model.layers.26.mlp.gate_proj.weight": "model-00008-of-00030.safetensors", "model.layers.26.mlp.up_proj.weight": "model-00008-of-00030.safetensors", "model.layers.26.post_attention_layernorm.weight": "model-00008-of-00030.safetensors", "model.layers.26.self_attn.k_proj.weight": "model-00008-of-00030.safetensors", "model.layers.26.self_attn.o_proj.weight": "model-00008-of-00030.safetensors", "model.layers.26.self_attn.q_proj.weight": "model-00009-of-00030.safetensors", "model.layers.26.self_attn.v_proj.weight": "model-00009-of-00030.safetensors", "model.layers.27.input_layernorm.weight": "model-00009-of-00030.safetensors", "model.layers.27.mlp.down_proj.weight": "model-00009-of-00030.safetensors", "model.layers.27.mlp.gate_proj.weight": "model-00009-of-00030.safetensors", "model.layers.27.mlp.up_proj.weight": "model-00009-of-00030.safetensors", "model.layers.27.post_attention_layernorm.weight": "model-00009-of-00030.safetensors", "model.layers.27.self_attn.k_proj.weight": "model-00009-of-00030.safetensors", "model.layers.27.self_attn.o_proj.weight": "model-00009-of-00030.safetensors", "model.layers.27.self_attn.q_proj.weight": "model-00009-of-00030.safetensors", "model.layers.27.self_attn.v_proj.weight": "model-00009-of-00030.safetensors", "model.layers.28.input_layernorm.weight": "model-00009-of-00030.safetensors", "model.layers.28.mlp.down_proj.weight": "model-00009-of-00030.safetensors", "model.layers.28.mlp.gate_proj.weight": "model-00009-of-00030.safetensors", "model.layers.28.mlp.up_proj.weight": "model-00009-of-00030.safetensors", "model.layers.28.post_attention_layernorm.weight": "model-00009-of-00030.safetensors", "model.layers.28.self_attn.k_proj.weight": "model-00009-of-00030.safetensors", "model.layers.28.self_attn.o_proj.weight": "model-00009-of-00030.safetensors", "model.layers.28.self_attn.q_proj.weight": "model-00009-of-00030.safetensors", "model.layers.28.self_attn.v_proj.weight": "model-00009-of-00030.safetensors", "model.layers.29.input_layernorm.weight": "model-00009-of-00030.safetensors", "model.layers.29.mlp.down_proj.weight": "model-00009-of-00030.safetensors", "model.layers.29.mlp.gate_proj.weight": "model-00009-of-00030.safetensors", "model.layers.29.mlp.up_proj.weight": "model-00009-of-00030.safetensors", "model.layers.29.post_attention_layernorm.weight": "model-00009-of-00030.safetensors", "model.layers.29.self_attn.k_proj.weight": "model-00009-of-00030.safetensors", "model.layers.29.self_attn.o_proj.weight": "model-00010-of-00030.safetensors", "model.layers.29.self_attn.q_proj.weight": "model-00010-of-00030.safetensors", "model.layers.29.self_attn.v_proj.weight": "model-00010-of-00030.safetensors", "model.layers.3.input_layernorm.weight": "model-00010-of-00030.safetensors", "model.layers.3.mlp.down_proj.weight": "model-00010-of-00030.safetensors", "model.layers.3.mlp.gate_proj.weight": "model-00010-of-00030.safetensors", "model.layers.3.mlp.up_proj.weight": "model-00010-of-00030.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00010-of-00030.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00010-of-00030.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00010-of-00030.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00010-of-00030.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00010-of-00030.safetensors", "model.layers.30.input_layernorm.weight": "model-00010-of-00030.safetensors", "model.layers.30.mlp.down_proj.weight": "model-00010-of-00030.safetensors", "model.layers.30.mlp.gate_proj.weight": "model-00010-of-00030.safetensors", "model.layers.30.mlp.up_proj.weight": "model-00010-of-00030.safetensors", "model.layers.30.post_attention_layernorm.weight": "model-00010-of-00030.safetensors", "model.layers.30.self_attn.k_proj.weight": "model-00010-of-00030.safetensors", "model.layers.30.self_attn.o_proj.weight": "model-00010-of-00030.safetensors", "model.layers.30.self_attn.q_proj.weight": "model-00010-of-00030.safetensors", "model.layers.30.self_attn.v_proj.weight": "model-00010-of-00030.safetensors", "model.layers.31.input_layernorm.weight": "model-00010-of-00030.safetensors", "model.layers.31.mlp.down_proj.weight": "model-00010-of-00030.safetensors", "model.layers.31.mlp.gate_proj.weight": "model-00010-of-00030.safetensors", "model.layers.31.mlp.up_proj.weight": "model-00011-of-00030.safetensors", "model.layers.31.post_attention_layernorm.weight": "model-00011-of-00030.safetensors", "model.layers.31.self_attn.k_proj.weight": "model-00011-of-00030.safetensors", "model.layers.31.self_attn.o_proj.weight": "model-00011-of-00030.safetensors", "model.layers.31.self_attn.q_proj.weight": "model-00011-of-00030.safetensors", "model.layers.31.self_attn.v_proj.weight": "model-00011-of-00030.safetensors", "model.layers.32.input_layernorm.weight": "model-00011-of-00030.safetensors", "model.layers.32.mlp.down_proj.weight": "model-00011-of-00030.safetensors", "model.layers.32.mlp.gate_proj.weight": "model-00011-of-00030.safetensors", "model.layers.32.mlp.up_proj.weight": "model-00011-of-00030.safetensors", "model.layers.32.post_attention_layernorm.weight": "model-00011-of-00030.safetensors", "model.layers.32.self_attn.k_proj.weight": "model-00011-of-00030.safetensors", "model.layers.32.self_attn.o_proj.weight": "model-00011-of-00030.safetensors", "model.layers.32.self_attn.q_proj.weight": "model-00011-of-00030.safetensors", "model.layers.32.self_attn.v_proj.weight": "model-00011-of-00030.safetensors", "model.layers.33.input_layernorm.weight": "model-00011-of-00030.safetensors", "model.layers.33.mlp.down_proj.weight": "model-00011-of-00030.safetensors", "model.layers.33.mlp.gate_proj.weight": "model-00011-of-00030.safetensors", "model.layers.33.mlp.up_proj.weight": "model-00011-of-00030.safetensors", "model.layers.33.post_attention_layernorm.weight": "model-00011-of-00030.safetensors", "model.layers.33.self_attn.k_proj.weight": "model-00011-of-00030.safetensors", "model.layers.33.self_attn.o_proj.weight": "model-00011-of-00030.safetensors", "model.layers.33.self_attn.q_proj.weight": "model-00011-of-00030.safetensors", "model.layers.33.self_attn.v_proj.weight": "model-00011-of-00030.safetensors", "model.layers.34.input_layernorm.weight": "model-00011-of-00030.safetensors", "model.layers.34.mlp.down_proj.weight": "model-00011-of-00030.safetensors", "model.layers.34.mlp.gate_proj.weight": "model-00012-of-00030.safetensors", "model.layers.34.mlp.up_proj.weight": "model-00012-of-00030.safetensors", "model.layers.34.post_attention_layernorm.weight": "model-00012-of-00030.safetensors", "model.layers.34.self_attn.k_proj.weight": "model-00012-of-00030.safetensors", "model.layers.34.self_attn.o_proj.weight": "model-00012-of-00030.safetensors", "model.layers.34.self_attn.q_proj.weight": "model-00012-of-00030.safetensors", "model.layers.34.self_attn.v_proj.weight": "model-00012-of-00030.safetensors", "model.layers.35.input_layernorm.weight": "model-00012-of-00030.safetensors", "model.layers.35.mlp.down_proj.weight": "model-00012-of-00030.safetensors", "model.layers.35.mlp.gate_proj.weight": "model-00012-of-00030.safetensors", "model.layers.35.mlp.up_proj.weight": "model-00012-of-00030.safetensors", "model.layers.35.post_attention_layernorm.weight": "model-00012-of-00030.safetensors", "model.layers.35.self_attn.k_proj.weight": "model-00012-of-00030.safetensors", "model.layers.35.self_attn.o_proj.weight": "model-00012-of-00030.safetensors", "model.layers.35.self_attn.q_proj.weight": "model-00012-of-00030.safetensors", "model.layers.35.self_attn.v_proj.weight": "model-00012-of-00030.safetensors", "model.layers.36.input_layernorm.weight": "model-00012-of-00030.safetensors", "model.layers.36.mlp.down_proj.weight": "model-00012-of-00030.safetensors", "model.layers.36.mlp.gate_proj.weight": "model-00012-of-00030.safetensors", "model.layers.36.mlp.up_proj.weight": "model-00012-of-00030.safetensors", "model.layers.36.post_attention_layernorm.weight": "model-00012-of-00030.safetensors", "model.layers.36.self_attn.k_proj.weight": "model-00012-of-00030.safetensors", "model.layers.36.self_attn.o_proj.weight": "model-00012-of-00030.safetensors", "model.layers.36.self_attn.q_proj.weight": "model-00012-of-00030.safetensors", "model.layers.36.self_attn.v_proj.weight": "model-00012-of-00030.safetensors", "model.layers.37.input_layernorm.weight": "model-00012-of-00030.safetensors", "model.layers.37.mlp.down_proj.weight": "model-00013-of-00030.safetensors", "model.layers.37.mlp.gate_proj.weight": "model-00013-of-00030.safetensors", "model.layers.37.mlp.up_proj.weight": "model-00013-of-00030.safetensors", "model.layers.37.post_attention_layernorm.weight": "model-00013-of-00030.safetensors", "model.layers.37.self_attn.k_proj.weight": "model-00013-of-00030.safetensors", "model.layers.37.self_attn.o_proj.weight": "model-00013-of-00030.safetensors", "model.layers.37.self_attn.q_proj.weight": "model-00013-of-00030.safetensors", "model.layers.37.self_attn.v_proj.weight": "model-00013-of-00030.safetensors", "model.layers.38.input_layernorm.weight": "model-00013-of-00030.safetensors", "model.layers.38.mlp.down_proj.weight": "model-00013-of-00030.safetensors", "model.layers.38.mlp.gate_proj.weight": "model-00013-of-00030.safetensors", "model.layers.38.mlp.up_proj.weight": "model-00013-of-00030.safetensors", "model.layers.38.post_attention_layernorm.weight": "model-00013-of-00030.safetensors", "model.layers.38.self_attn.k_proj.weight": "model-00013-of-00030.safetensors", "model.layers.38.self_attn.o_proj.weight": "model-00013-of-00030.safetensors", "model.layers.38.self_attn.q_proj.weight": "model-00013-of-00030.safetensors", "model.layers.38.self_attn.v_proj.weight": "model-00013-of-00030.safetensors", "model.layers.39.input_layernorm.weight": "model-00013-of-00030.safetensors", "model.layers.39.mlp.down_proj.weight": "model-00013-of-00030.safetensors", "model.layers.39.mlp.gate_proj.weight": "model-00013-of-00030.safetensors", "model.layers.39.mlp.up_proj.weight": "model-00013-of-00030.safetensors", "model.layers.39.post_attention_layernorm.weight": "model-00013-of-00030.safetensors", "model.layers.39.self_attn.k_proj.weight": "model-00013-of-00030.safetensors", "model.layers.39.self_attn.o_proj.weight": "model-00013-of-00030.safetensors", "model.layers.39.self_attn.q_proj.weight": "model-00014-of-00030.safetensors", "model.layers.39.self_attn.v_proj.weight": "model-00014-of-00030.safetensors", "model.layers.4.input_layernorm.weight": "model-00014-of-00030.safetensors", "model.layers.4.mlp.down_proj.weight": "model-00014-of-00030.safetensors", "model.layers.4.mlp.gate_proj.weight": "model-00014-of-00030.safetensors", "model.layers.4.mlp.up_proj.weight": "model-00014-of-00030.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00014-of-00030.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00014-of-00030.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00014-of-00030.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00014-of-00030.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00014-of-00030.safetensors", "model.layers.40.input_layernorm.weight": "model-00014-of-00030.safetensors", "model.layers.40.mlp.down_proj.weight": "model-00014-of-00030.safetensors", "model.layers.40.mlp.gate_proj.weight": "model-00014-of-00030.safetensors", "model.layers.40.mlp.up_proj.weight": "model-00014-of-00030.safetensors", "model.layers.40.post_attention_layernorm.weight": "model-00014-of-00030.safetensors", "model.layers.40.self_attn.k_proj.weight": "model-00014-of-00030.safetensors", "model.layers.40.self_attn.o_proj.weight": "model-00014-of-00030.safetensors", "model.layers.40.self_attn.q_proj.weight": "model-00014-of-00030.safetensors", "model.layers.40.self_attn.v_proj.weight": "model-00014-of-00030.safetensors", "model.layers.41.input_layernorm.weight": "model-00014-of-00030.safetensors", "model.layers.41.mlp.down_proj.weight": "model-00014-of-00030.safetensors", "model.layers.41.mlp.gate_proj.weight": "model-00014-of-00030.safetensors", "model.layers.41.mlp.up_proj.weight": "model-00014-of-00030.safetensors", "model.layers.41.post_attention_layernorm.weight": "model-00014-of-00030.safetensors", "model.layers.41.self_attn.k_proj.weight": "model-00014-of-00030.safetensors", "model.layers.41.self_attn.o_proj.weight": "model-00015-of-00030.safetensors", "model.layers.41.self_attn.q_proj.weight": "model-00015-of-00030.safetensors", "model.layers.41.self_attn.v_proj.weight": "model-00015-of-00030.safetensors", "model.layers.42.input_layernorm.weight": "model-00015-of-00030.safetensors", "model.layers.42.mlp.down_proj.weight": "model-00015-of-00030.safetensors", "model.layers.42.mlp.gate_proj.weight": "model-00015-of-00030.safetensors", "model.layers.42.mlp.up_proj.weight": "model-00015-of-00030.safetensors", "model.layers.42.post_attention_layernorm.weight": "model-00015-of-00030.safetensors", "model.layers.42.self_attn.k_proj.weight": "model-00015-of-00030.safetensors", "model.layers.42.self_attn.o_proj.weight": "model-00015-of-00030.safetensors", "model.layers.42.self_attn.q_proj.weight": "model-00015-of-00030.safetensors", "model.layers.42.self_attn.v_proj.weight": "model-00015-of-00030.safetensors", "model.layers.43.input_layernorm.weight": "model-00015-of-00030.safetensors", "model.layers.43.mlp.down_proj.weight": "model-00015-of-00030.safetensors", "model.layers.43.mlp.gate_proj.weight": "model-00015-of-00030.safetensors", "model.layers.43.mlp.up_proj.weight": "model-00015-of-00030.safetensors", "model.layers.43.post_attention_layernorm.weight": "model-00015-of-00030.safetensors", "model.layers.43.self_attn.k_proj.weight": "model-00015-of-00030.safetensors", "model.layers.43.self_attn.o_proj.weight": "model-00015-of-00030.safetensors", "model.layers.43.self_attn.q_proj.weight": "model-00015-of-00030.safetensors", "model.layers.43.self_attn.v_proj.weight": "model-00015-of-00030.safetensors", "model.layers.44.input_layernorm.weight": "model-00015-of-00030.safetensors", "model.layers.44.mlp.down_proj.weight": "model-00015-of-00030.safetensors", "model.layers.44.mlp.gate_proj.weight": "model-00015-of-00030.safetensors", "model.layers.44.mlp.up_proj.weight": "model-00016-of-00030.safetensors", "model.layers.44.post_attention_layernorm.weight": "model-00016-of-00030.safetensors", "model.layers.44.self_attn.k_proj.weight": "model-00016-of-00030.safetensors", "model.layers.44.self_attn.o_proj.weight": "model-00016-of-00030.safetensors", "model.layers.44.self_attn.q_proj.weight": "model-00016-of-00030.safetensors", "model.layers.44.self_attn.v_proj.weight": "model-00016-of-00030.safetensors", "model.layers.45.input_layernorm.weight": "model-00016-of-00030.safetensors", "model.layers.45.mlp.down_proj.weight": "model-00016-of-00030.safetensors", "model.layers.45.mlp.gate_proj.weight": "model-00016-of-00030.safetensors", "model.layers.45.mlp.up_proj.weight": "model-00016-of-00030.safetensors", "model.layers.45.post_attention_layernorm.weight": "model-00016-of-00030.safetensors", "model.layers.45.self_attn.k_proj.weight": "model-00016-of-00030.safetensors", "model.layers.45.self_attn.o_proj.weight": "model-00016-of-00030.safetensors", "model.layers.45.self_attn.q_proj.weight": "model-00016-of-00030.safetensors", "model.layers.45.self_attn.v_proj.weight": "model-00016-of-00030.safetensors", "model.layers.46.input_layernorm.weight": "model-00016-of-00030.safetensors", "model.layers.46.mlp.down_proj.weight": "model-00016-of-00030.safetensors", "model.layers.46.mlp.gate_proj.weight": "model-00016-of-00030.safetensors", "model.layers.46.mlp.up_proj.weight": "model-00016-of-00030.safetensors", "model.layers.46.post_attention_layernorm.weight": "model-00016-of-00030.safetensors", "model.layers.46.self_attn.k_proj.weight": "model-00016-of-00030.safetensors", "model.layers.46.self_attn.o_proj.weight": "model-00016-of-00030.safetensors", "model.layers.46.self_attn.q_proj.weight": "model-00016-of-00030.safetensors", "model.layers.46.self_attn.v_proj.weight": "model-00016-of-00030.safetensors", "model.layers.47.input_layernorm.weight": "model-00016-of-00030.safetensors", "model.layers.47.mlp.down_proj.weight": "model-00016-of-00030.safetensors", "model.layers.47.mlp.gate_proj.weight": "model-00017-of-00030.safetensors", "model.layers.47.mlp.up_proj.weight": "model-00017-of-00030.safetensors", "model.layers.47.post_attention_layernorm.weight": "model-00017-of-00030.safetensors", "model.layers.47.self_attn.k_proj.weight": "model-00017-of-00030.safetensors", "model.layers.47.self_attn.o_proj.weight": "model-00017-of-00030.safetensors", "model.layers.47.self_attn.q_proj.weight": "model-00017-of-00030.safetensors", "model.layers.47.self_attn.v_proj.weight": "model-00017-of-00030.safetensors", "model.layers.48.input_layernorm.weight": "model-00017-of-00030.safetensors", "model.layers.48.mlp.down_proj.weight": "model-00017-of-00030.safetensors", "model.layers.48.mlp.gate_proj.weight": "model-00017-of-00030.safetensors", "model.layers.48.mlp.up_proj.weight": "model-00017-of-00030.safetensors", "model.layers.48.post_attention_layernorm.weight": "model-00017-of-00030.safetensors", "model.layers.48.self_attn.k_proj.weight": "model-00017-of-00030.safetensors", "model.layers.48.self_attn.o_proj.weight": "model-00017-of-00030.safetensors", "model.layers.48.self_attn.q_proj.weight": "model-00017-of-00030.safetensors", "model.layers.48.self_attn.v_proj.weight": "model-00017-of-00030.safetensors", "model.layers.49.input_layernorm.weight": "model-00017-of-00030.safetensors", "model.layers.49.mlp.down_proj.weight": "model-00017-of-00030.safetensors", "model.layers.49.mlp.gate_proj.weight": "model-00017-of-00030.safetensors", "model.layers.49.mlp.up_proj.weight": "model-00017-of-00030.safetensors", "model.layers.49.post_attention_layernorm.weight": "model-00017-of-00030.safetensors", "model.layers.49.self_attn.k_proj.weight": "model-00017-of-00030.safetensors", "model.layers.49.self_attn.o_proj.weight": "model-00017-of-00030.safetensors", "model.layers.49.self_attn.q_proj.weight": "model-00017-of-00030.safetensors", "model.layers.49.self_attn.v_proj.weight": "model-00017-of-00030.safetensors", "model.layers.5.input_layernorm.weight": "model-00017-of-00030.safetensors", "model.layers.5.mlp.down_proj.weight": "model-00018-of-00030.safetensors", "model.layers.5.mlp.gate_proj.weight": "model-00018-of-00030.safetensors", "model.layers.5.mlp.up_proj.weight": "model-00018-of-00030.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00018-of-00030.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00018-of-00030.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00018-of-00030.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00018-of-00030.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00018-of-00030.safetensors", "model.layers.50.input_layernorm.weight": "model-00018-of-00030.safetensors", "model.layers.50.mlp.down_proj.weight": "model-00018-of-00030.safetensors", "model.layers.50.mlp.gate_proj.weight": "model-00018-of-00030.safetensors", "model.layers.50.mlp.up_proj.weight": "model-00018-of-00030.safetensors", "model.layers.50.post_attention_layernorm.weight": "model-00018-of-00030.safetensors", "model.layers.50.self_attn.k_proj.weight": "model-00018-of-00030.safetensors", "model.layers.50.self_attn.o_proj.weight": "model-00018-of-00030.safetensors", "model.layers.50.self_attn.q_proj.weight": "model-00018-of-00030.safetensors", "model.layers.50.self_attn.v_proj.weight": "model-00018-of-00030.safetensors", "model.layers.51.input_layernorm.weight": "model-00018-of-00030.safetensors", "model.layers.51.mlp.down_proj.weight": "model-00018-of-00030.safetensors", "model.layers.51.mlp.gate_proj.weight": "model-00018-of-00030.safetensors", "model.layers.51.mlp.up_proj.weight": "model-00018-of-00030.safetensors", "model.layers.51.post_attention_layernorm.weight": "model-00018-of-00030.safetensors", "model.layers.51.self_attn.k_proj.weight": "model-00018-of-00030.safetensors", "model.layers.51.self_attn.o_proj.weight": "model-00018-of-00030.safetensors", "model.layers.51.self_attn.q_proj.weight": "model-00019-of-00030.safetensors", "model.layers.51.self_attn.v_proj.weight": "model-00019-of-00030.safetensors", "model.layers.52.input_layernorm.weight": "model-00019-of-00030.safetensors", "model.layers.52.mlp.down_proj.weight": "model-00019-of-00030.safetensors", "model.layers.52.mlp.gate_proj.weight": "model-00019-of-00030.safetensors", "model.layers.52.mlp.up_proj.weight": "model-00019-of-00030.safetensors", "model.layers.52.post_attention_layernorm.weight": "model-00019-of-00030.safetensors", "model.layers.52.self_attn.k_proj.weight": "model-00019-of-00030.safetensors", "model.layers.52.self_attn.o_proj.weight": "model-00019-of-00030.safetensors", "model.layers.52.self_attn.q_proj.weight": "model-00019-of-00030.safetensors", "model.layers.52.self_attn.v_proj.weight": "model-00019-of-00030.safetensors", "model.layers.53.input_layernorm.weight": "model-00019-of-00030.safetensors", "model.layers.53.mlp.down_proj.weight": "model-00019-of-00030.safetensors", "model.layers.53.mlp.gate_proj.weight": "model-00019-of-00030.safetensors", "model.layers.53.mlp.up_proj.weight": "model-00019-of-00030.safetensors", "model.layers.53.post_attention_layernorm.weight": "model-00019-of-00030.safetensors", "model.layers.53.self_attn.k_proj.weight": "model-00019-of-00030.safetensors", "model.layers.53.self_attn.o_proj.weight": "model-00019-of-00030.safetensors", "model.layers.53.self_attn.q_proj.weight": "model-00019-of-00030.safetensors", "model.layers.53.self_attn.v_proj.weight": "model-00019-of-00030.safetensors", "model.layers.54.input_layernorm.weight": "model-00019-of-00030.safetensors", "model.layers.54.mlp.down_proj.weight": "model-00019-of-00030.safetensors", "model.layers.54.mlp.gate_proj.weight": "model-00019-of-00030.safetensors", "model.layers.54.mlp.up_proj.weight": "model-00019-of-00030.safetensors", "model.layers.54.post_attention_layernorm.weight": "model-00019-of-00030.safetensors", "model.layers.54.self_attn.k_proj.weight": "model-00019-of-00030.safetensors", "model.layers.54.self_attn.o_proj.weight": "model-00020-of-00030.safetensors", "model.layers.54.self_attn.q_proj.weight": "model-00020-of-00030.safetensors", "model.layers.54.self_attn.v_proj.weight": "model-00020-of-00030.safetensors", "model.layers.55.input_layernorm.weight": "model-00020-of-00030.safetensors", "model.layers.55.mlp.down_proj.weight": "model-00020-of-00030.safetensors", "model.layers.55.mlp.gate_proj.weight": "model-00020-of-00030.safetensors", "model.layers.55.mlp.up_proj.weight": "model-00020-of-00030.safetensors", "model.layers.55.post_attention_layernorm.weight": "model-00020-of-00030.safetensors", "model.layers.55.self_attn.k_proj.weight": "model-00020-of-00030.safetensors", "model.layers.55.self_attn.o_proj.weight": "model-00020-of-00030.safetensors", "model.layers.55.self_attn.q_proj.weight": "model-00020-of-00030.safetensors", "model.layers.55.self_attn.v_proj.weight": "model-00020-of-00030.safetensors", "model.layers.56.input_layernorm.weight": "model-00020-of-00030.safetensors", "model.layers.56.mlp.down_proj.weight": "model-00020-of-00030.safetensors", "model.layers.56.mlp.gate_proj.weight": "model-00020-of-00030.safetensors", "model.layers.56.mlp.up_proj.weight": "model-00020-of-00030.safetensors", "model.layers.56.post_attention_layernorm.weight": "model-00020-of-00030.safetensors", "model.layers.56.self_attn.k_proj.weight": "model-00020-of-00030.safetensors", "model.layers.56.self_attn.o_proj.weight": "model-00020-of-00030.safetensors", "model.layers.56.self_attn.q_proj.weight": "model-00020-of-00030.safetensors", "model.layers.56.self_attn.v_proj.weight": "model-00020-of-00030.safetensors", "model.layers.57.input_layernorm.weight": "model-00020-of-00030.safetensors", "model.layers.57.mlp.down_proj.weight": "model-00020-of-00030.safetensors", "model.layers.57.mlp.gate_proj.weight": "model-00020-of-00030.safetensors", "model.layers.57.mlp.up_proj.weight": "model-00021-of-00030.safetensors", "model.layers.57.post_attention_layernorm.weight": "model-00021-of-00030.safetensors", "model.layers.57.self_attn.k_proj.weight": "model-00021-of-00030.safetensors", "model.layers.57.self_attn.o_proj.weight": "model-00021-of-00030.safetensors", "model.layers.57.self_attn.q_proj.weight": "model-00021-of-00030.safetensors", "model.layers.57.self_attn.v_proj.weight": "model-00021-of-00030.safetensors", "model.layers.58.input_layernorm.weight": "model-00021-of-00030.safetensors", "model.layers.58.mlp.down_proj.weight": "model-00021-of-00030.safetensors", "model.layers.58.mlp.gate_proj.weight": "model-00021-of-00030.safetensors", "model.layers.58.mlp.up_proj.weight": "model-00021-of-00030.safetensors", "model.layers.58.post_attention_layernorm.weight": "model-00021-of-00030.safetensors", "model.layers.58.self_attn.k_proj.weight": "model-00021-of-00030.safetensors", "model.layers.58.self_attn.o_proj.weight": "model-00021-of-00030.safetensors", "model.layers.58.self_attn.q_proj.weight": "model-00021-of-00030.safetensors", "model.layers.58.self_attn.v_proj.weight": "model-00021-of-00030.safetensors", "model.layers.59.input_layernorm.weight": "model-00021-of-00030.safetensors", "model.layers.59.mlp.down_proj.weight": "model-00021-of-00030.safetensors", "model.layers.59.mlp.gate_proj.weight": "model-00021-of-00030.safetensors", "model.layers.59.mlp.up_proj.weight": "model-00021-of-00030.safetensors", "model.layers.59.post_attention_layernorm.weight": "model-00021-of-00030.safetensors", "model.layers.59.self_attn.k_proj.weight": "model-00021-of-00030.safetensors", "model.layers.59.self_attn.o_proj.weight": "model-00021-of-00030.safetensors", "model.layers.59.self_attn.q_proj.weight": "model-00021-of-00030.safetensors", "model.layers.59.self_attn.v_proj.weight": "model-00021-of-00030.safetensors", "model.layers.6.input_layernorm.weight": "model-00021-of-00030.safetensors", "model.layers.6.mlp.down_proj.weight": "model-00021-of-00030.safetensors", "model.layers.6.mlp.gate_proj.weight": "model-00022-of-00030.safetensors", "model.layers.6.mlp.up_proj.weight": "model-00022-of-00030.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00022-of-00030.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00022-of-00030.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00022-of-00030.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00022-of-00030.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00022-of-00030.safetensors", "model.layers.60.input_layernorm.weight": "model-00022-of-00030.safetensors", "model.layers.60.mlp.down_proj.weight": "model-00022-of-00030.safetensors", "model.layers.60.mlp.gate_proj.weight": "model-00022-of-00030.safetensors", "model.layers.60.mlp.up_proj.weight": "model-00022-of-00030.safetensors", "model.layers.60.post_attention_layernorm.weight": "model-00022-of-00030.safetensors", "model.layers.60.self_attn.k_proj.weight": "model-00022-of-00030.safetensors", "model.layers.60.self_attn.o_proj.weight": "model-00022-of-00030.safetensors", "model.layers.60.self_attn.q_proj.weight": "model-00022-of-00030.safetensors", "model.layers.60.self_attn.v_proj.weight": "model-00022-of-00030.safetensors", "model.layers.61.input_layernorm.weight": "model-00022-of-00030.safetensors", "model.layers.61.mlp.down_proj.weight": "model-00022-of-00030.safetensors", "model.layers.61.mlp.gate_proj.weight": "model-00022-of-00030.safetensors", "model.layers.61.mlp.up_proj.weight": "model-00022-of-00030.safetensors", "model.layers.61.post_attention_layernorm.weight": "model-00022-of-00030.safetensors", "model.layers.61.self_attn.k_proj.weight": "model-00022-of-00030.safetensors", "model.layers.61.self_attn.o_proj.weight": "model-00022-of-00030.safetensors", "model.layers.61.self_attn.q_proj.weight": "model-00022-of-00030.safetensors", "model.layers.61.self_attn.v_proj.weight": "model-00022-of-00030.safetensors", "model.layers.62.input_layernorm.weight": "model-00022-of-00030.safetensors", "model.layers.62.mlp.down_proj.weight": "model-00023-of-00030.safetensors", "model.layers.62.mlp.gate_proj.weight": "model-00023-of-00030.safetensors", "model.layers.62.mlp.up_proj.weight": "model-00023-of-00030.safetensors", "model.layers.62.post_attention_layernorm.weight": "model-00023-of-00030.safetensors", "model.layers.62.self_attn.k_proj.weight": "model-00023-of-00030.safetensors", "model.layers.62.self_attn.o_proj.weight": "model-00023-of-00030.safetensors", "model.layers.62.self_attn.q_proj.weight": "model-00023-of-00030.safetensors", "model.layers.62.self_attn.v_proj.weight": "model-00023-of-00030.safetensors", "model.layers.63.input_layernorm.weight": "model-00023-of-00030.safetensors", "model.layers.63.mlp.down_proj.weight": "model-00023-of-00030.safetensors", "model.layers.63.mlp.gate_proj.weight": "model-00023-of-00030.safetensors", "model.layers.63.mlp.up_proj.weight": "model-00023-of-00030.safetensors", "model.layers.63.post_attention_layernorm.weight": "model-00023-of-00030.safetensors", "model.layers.63.self_attn.k_proj.weight": "model-00023-of-00030.safetensors", "model.layers.63.self_attn.o_proj.weight": "model-00023-of-00030.safetensors", "model.layers.63.self_attn.q_proj.weight": "model-00023-of-00030.safetensors", "model.layers.63.self_attn.v_proj.weight": "model-00023-of-00030.safetensors", "model.layers.64.input_layernorm.weight": "model-00023-of-00030.safetensors", "model.layers.64.mlp.down_proj.weight": "model-00023-of-00030.safetensors", "model.layers.64.mlp.gate_proj.weight": "model-00023-of-00030.safetensors", "model.layers.64.mlp.up_proj.weight": "model-00023-of-00030.safetensors", "model.layers.64.post_attention_layernorm.weight": "model-00023-of-00030.safetensors", "model.layers.64.self_attn.k_proj.weight": "model-00023-of-00030.safetensors", "model.layers.64.self_attn.o_proj.weight": "model-00023-of-00030.safetensors", "model.layers.64.self_attn.q_proj.weight": "model-00024-of-00030.safetensors", "model.layers.64.self_attn.v_proj.weight": "model-00024-of-00030.safetensors", "model.layers.65.input_layernorm.weight": "model-00024-of-00030.safetensors", "model.layers.65.mlp.down_proj.weight": "model-00024-of-00030.safetensors", "model.layers.65.mlp.gate_proj.weight": "model-00024-of-00030.safetensors", "model.layers.65.mlp.up_proj.weight": "model-00024-of-00030.safetensors", "model.layers.65.post_attention_layernorm.weight": "model-00024-of-00030.safetensors", "model.layers.65.self_attn.k_proj.weight": "model-00024-of-00030.safetensors", "model.layers.65.self_attn.o_proj.weight": "model-00024-of-00030.safetensors", "model.layers.65.self_attn.q_proj.weight": "model-00024-of-00030.safetensors", "model.layers.65.self_attn.v_proj.weight": "model-00024-of-00030.safetensors", "model.layers.66.input_layernorm.weight": "model-00024-of-00030.safetensors", "model.layers.66.mlp.down_proj.weight": "model-00024-of-00030.safetensors", "model.layers.66.mlp.gate_proj.weight": "model-00024-of-00030.safetensors", "model.layers.66.mlp.up_proj.weight": "model-00024-of-00030.safetensors", "model.layers.66.post_attention_layernorm.weight": "model-00024-of-00030.safetensors", "model.layers.66.self_attn.k_proj.weight": "model-00024-of-00030.safetensors", "model.layers.66.self_attn.o_proj.weight": "model-00024-of-00030.safetensors", "model.layers.66.self_attn.q_proj.weight": "model-00024-of-00030.safetensors", "model.layers.66.self_attn.v_proj.weight": "model-00024-of-00030.safetensors", "model.layers.67.input_layernorm.weight": "model-00024-of-00030.safetensors", "model.layers.67.mlp.down_proj.weight": "model-00024-of-00030.safetensors", "model.layers.67.mlp.gate_proj.weight": "model-00024-of-00030.safetensors", "model.layers.67.mlp.up_proj.weight": "model-00024-of-00030.safetensors", "model.layers.67.post_attention_layernorm.weight": "model-00024-of-00030.safetensors", "model.layers.67.self_attn.k_proj.weight": "model-00024-of-00030.safetensors", "model.layers.67.self_attn.o_proj.weight": "model-00025-of-00030.safetensors", "model.layers.67.self_attn.q_proj.weight": "model-00025-of-00030.safetensors", "model.layers.67.self_attn.v_proj.weight": "model-00025-of-00030.safetensors", "model.layers.68.input_layernorm.weight": "model-00025-of-00030.safetensors", "model.layers.68.mlp.down_proj.weight": "model-00025-of-00030.safetensors", "model.layers.68.mlp.gate_proj.weight": "model-00025-of-00030.safetensors", "model.layers.68.mlp.up_proj.weight": "model-00025-of-00030.safetensors", "model.layers.68.post_attention_layernorm.weight": "model-00025-of-00030.safetensors", "model.layers.68.self_attn.k_proj.weight": "model-00025-of-00030.safetensors", "model.layers.68.self_attn.o_proj.weight": "model-00025-of-00030.safetensors", "model.layers.68.self_attn.q_proj.weight": "model-00025-of-00030.safetensors", "model.layers.68.self_attn.v_proj.weight": "model-00025-of-00030.safetensors", "model.layers.69.input_layernorm.weight": "model-00025-of-00030.safetensors", "model.layers.69.mlp.down_proj.weight": "model-00025-of-00030.safetensors", "model.layers.69.mlp.gate_proj.weight": "model-00025-of-00030.safetensors", "model.layers.69.mlp.up_proj.weight": "model-00025-of-00030.safetensors", "model.layers.69.post_attention_layernorm.weight": "model-00025-of-00030.safetensors", "model.layers.69.self_attn.k_proj.weight": "model-00025-of-00030.safetensors", "model.layers.69.self_attn.o_proj.weight": "model-00025-of-00030.safetensors", "model.layers.69.self_attn.q_proj.weight": "model-00025-of-00030.safetensors", "model.layers.69.self_attn.v_proj.weight": "model-00025-of-00030.safetensors", "model.layers.7.input_layernorm.weight": "model-00025-of-00030.safetensors", "model.layers.7.mlp.down_proj.weight": "model-00025-of-00030.safetensors", "model.layers.7.mlp.gate_proj.weight": "model-00025-of-00030.safetensors", "model.layers.7.mlp.up_proj.weight": "model-00026-of-00030.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00026-of-00030.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00026-of-00030.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00026-of-00030.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00026-of-00030.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00026-of-00030.safetensors", "model.layers.70.input_layernorm.weight": "model-00026-of-00030.safetensors", "model.layers.70.mlp.down_proj.weight": "model-00026-of-00030.safetensors", "model.layers.70.mlp.gate_proj.weight": "model-00026-of-00030.safetensors", "model.layers.70.mlp.up_proj.weight": "model-00026-of-00030.safetensors", "model.layers.70.post_attention_layernorm.weight": "model-00026-of-00030.safetensors", "model.layers.70.self_attn.k_proj.weight": "model-00026-of-00030.safetensors", "model.layers.70.self_attn.o_proj.weight": "model-00026-of-00030.safetensors", "model.layers.70.self_attn.q_proj.weight": "model-00026-of-00030.safetensors", "model.layers.70.self_attn.v_proj.weight": "model-00026-of-00030.safetensors", "model.layers.71.input_layernorm.weight": "model-00026-of-00030.safetensors", "model.layers.71.mlp.down_proj.weight": "model-00026-of-00030.safetensors", "model.layers.71.mlp.gate_proj.weight": "model-00026-of-00030.safetensors", "model.layers.71.mlp.up_proj.weight": "model-00026-of-00030.safetensors", "model.layers.71.post_attention_layernorm.weight": "model-00026-of-00030.safetensors", "model.layers.71.self_attn.k_proj.weight": "model-00026-of-00030.safetensors", "model.layers.71.self_attn.o_proj.weight": "model-00026-of-00030.safetensors", "model.layers.71.self_attn.q_proj.weight": "model-00026-of-00030.safetensors", "model.layers.71.self_attn.v_proj.weight": "model-00026-of-00030.safetensors", "model.layers.72.input_layernorm.weight": "model-00026-of-00030.safetensors", "model.layers.72.mlp.down_proj.weight": "model-00026-of-00030.safetensors", "model.layers.72.mlp.gate_proj.weight": "model-00027-of-00030.safetensors", "model.layers.72.mlp.up_proj.weight": "model-00027-of-00030.safetensors", "model.layers.72.post_attention_layernorm.weight": "model-00027-of-00030.safetensors", "model.layers.72.self_attn.k_proj.weight": "model-00027-of-00030.safetensors", "model.layers.72.self_attn.o_proj.weight": "model-00027-of-00030.safetensors", "model.layers.72.self_attn.q_proj.weight": "model-00027-of-00030.safetensors", "model.layers.72.self_attn.v_proj.weight": "model-00027-of-00030.safetensors", "model.layers.73.input_layernorm.weight": "model-00027-of-00030.safetensors", "model.layers.73.mlp.down_proj.weight": "model-00027-of-00030.safetensors", "model.layers.73.mlp.gate_proj.weight": "model-00027-of-00030.safetensors", "model.layers.73.mlp.up_proj.weight": "model-00027-of-00030.safetensors", "model.layers.73.post_attention_layernorm.weight": "model-00027-of-00030.safetensors", "model.layers.73.self_attn.k_proj.weight": "model-00027-of-00030.safetensors", "model.layers.73.self_attn.o_proj.weight": "model-00027-of-00030.safetensors", "model.layers.73.self_attn.q_proj.weight": "model-00027-of-00030.safetensors", "model.layers.73.self_attn.v_proj.weight": "model-00027-of-00030.safetensors", "model.layers.74.input_layernorm.weight": "model-00027-of-00030.safetensors", "model.layers.74.mlp.down_proj.weight": "model-00027-of-00030.safetensors", "model.layers.74.mlp.gate_proj.weight": "model-00027-of-00030.safetensors", "model.layers.74.mlp.up_proj.weight": "model-00027-of-00030.safetensors", "model.layers.74.post_attention_layernorm.weight": "model-00027-of-00030.safetensors", "model.layers.74.self_attn.k_proj.weight": "model-00027-of-00030.safetensors", "model.layers.74.self_attn.o_proj.weight": "model-00027-of-00030.safetensors", "model.layers.74.self_attn.q_proj.weight": "model-00027-of-00030.safetensors", "model.layers.74.self_attn.v_proj.weight": "model-00027-of-00030.safetensors", "model.layers.75.input_layernorm.weight": "model-00027-of-00030.safetensors", "model.layers.75.mlp.down_proj.weight": "model-00028-of-00030.safetensors", "model.layers.75.mlp.gate_proj.weight": "model-00028-of-00030.safetensors", "model.layers.75.mlp.up_proj.weight": "model-00028-of-00030.safetensors", "model.layers.75.post_attention_layernorm.weight": "model-00028-of-00030.safetensors", "model.layers.75.self_attn.k_proj.weight": "model-00028-of-00030.safetensors", "model.layers.75.self_attn.o_proj.weight": "model-00028-of-00030.safetensors", "model.layers.75.self_attn.q_proj.weight": "model-00028-of-00030.safetensors", "model.layers.75.self_attn.v_proj.weight": "model-00028-of-00030.safetensors", "model.layers.76.input_layernorm.weight": "model-00028-of-00030.safetensors", "model.layers.76.mlp.down_proj.weight": "model-00028-of-00030.safetensors", "model.layers.76.mlp.gate_proj.weight": "model-00028-of-00030.safetensors", "model.layers.76.mlp.up_proj.weight": "model-00028-of-00030.safetensors", "model.layers.76.post_attention_layernorm.weight": "model-00028-of-00030.safetensors", "model.layers.76.self_attn.k_proj.weight": "model-00028-of-00030.safetensors", "model.layers.76.self_attn.o_proj.weight": "model-00028-of-00030.safetensors", "model.layers.76.self_attn.q_proj.weight": "model-00028-of-00030.safetensors", "model.layers.76.self_attn.v_proj.weight": "model-00028-of-00030.safetensors", "model.layers.77.input_layernorm.weight": "model-00028-of-00030.safetensors", "model.layers.77.mlp.down_proj.weight": "model-00028-of-00030.safetensors", "model.layers.77.mlp.gate_proj.weight": "model-00028-of-00030.safetensors", "model.layers.77.mlp.up_proj.weight": "model-00028-of-00030.safetensors", "model.layers.77.post_attention_layernorm.weight": "model-00028-of-00030.safetensors", "model.layers.77.self_attn.k_proj.weight": "model-00028-of-00030.safetensors", "model.layers.77.self_attn.o_proj.weight": "model-00028-of-00030.safetensors", "model.layers.77.self_attn.q_proj.weight": "model-00029-of-00030.safetensors", "model.layers.77.self_attn.v_proj.weight": "model-00029-of-00030.safetensors", "model.layers.78.input_layernorm.weight": "model-00029-of-00030.safetensors", "model.layers.78.mlp.down_proj.weight": "model-00029-of-00030.safetensors", "model.layers.78.mlp.gate_proj.weight": "model-00029-of-00030.safetensors", "model.layers.78.mlp.up_proj.weight": "model-00029-of-00030.safetensors", "model.layers.78.post_attention_layernorm.weight": "model-00029-of-00030.safetensors", "model.layers.78.self_attn.k_proj.weight": "model-00029-of-00030.safetensors", "model.layers.78.self_attn.o_proj.weight": "model-00029-of-00030.safetensors", "model.layers.78.self_attn.q_proj.weight": "model-00029-of-00030.safetensors", "model.layers.78.self_attn.v_proj.weight": "model-00029-of-00030.safetensors", "model.layers.79.input_layernorm.weight": "model-00029-of-00030.safetensors", "model.layers.79.mlp.down_proj.weight": "model-00029-of-00030.safetensors", "model.layers.79.mlp.gate_proj.weight": "model-00029-of-00030.safetensors", "model.layers.79.mlp.up_proj.weight": "model-00029-of-00030.safetensors", "model.layers.79.post_attention_layernorm.weight": "model-00029-of-00030.safetensors", "model.layers.79.self_attn.k_proj.weight": "model-00029-of-00030.safetensors", "model.layers.79.self_attn.o_proj.weight": "model-00029-of-00030.safetensors", "model.layers.79.self_attn.q_proj.weight": "model-00029-of-00030.safetensors", "model.layers.79.self_attn.v_proj.weight": "model-00029-of-00030.safetensors", "model.layers.8.input_layernorm.weight": "model-00029-of-00030.safetensors", "model.layers.8.mlp.down_proj.weight": "model-00029-of-00030.safetensors", "model.layers.8.mlp.gate_proj.weight": "model-00029-of-00030.safetensors", "model.layers.8.mlp.up_proj.weight": "model-00029-of-00030.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00029-of-00030.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00029-of-00030.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00030-of-00030.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00030-of-00030.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00030-of-00030.safetensors", "model.layers.9.input_layernorm.weight": "model-00030-of-00030.safetensors", "model.layers.9.mlp.down_proj.weight": "model-00030-of-00030.safetensors", "model.layers.9.mlp.gate_proj.weight": "model-00030-of-00030.safetensors", "model.layers.9.mlp.up_proj.weight": "model-00030-of-00030.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00030-of-00030.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00030-of-00030.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00030-of-00030.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00030-of-00030.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00030-of-00030.safetensors", "model.norm.weight": "model-00030-of-00030.safetensors"}}

output-00001-of-00004.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3c92b1e2ecb0671efde89a9198111457974f28d620da4ac03a348f1d1770df3f
+size 8536535528

output-00002-of-00004.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:58dc521e9cf2bf1d6cdbdb435e8c378849afbde2b9823fc4b7af4b33ea9d6511
+size 8589641200

output-00003-of-00004.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:64e9a025a5f8a2ff46648023b549c3656bcbf55318bef32a89962e43fc2bcfa6
+size 8577019780

output-00004-of-00004.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b4b742bcb25a2f7d0c3bbcf4849e728d03bdd0da484691bf73d35f42120b1373
+size 8455677832

special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,16 @@

+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
+size 17209920

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,2062 @@

+{
+  "added_tokens_decoder": {
+    "128000": {
+      "content": "<|begin_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128001": {
+      "content": "<|end_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128002": {
+      "content": "<|reserved_special_token_0|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128003": {
+      "content": "<|reserved_special_token_1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128004": {
+      "content": "<|finetune_right_pad_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128005": {
+      "content": "<|reserved_special_token_2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128006": {
+      "content": "<|start_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128007": {
+      "content": "<|end_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128008": {
+      "content": "<|eom_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128009": {
+      "content": "<|eot_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128010": {
+      "content": "<|python_tag|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128011": {
+      "content": "<|reserved_special_token_3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128012": {
+      "content": "<|reserved_special_token_4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128013": {
+      "content": "<|reserved_special_token_5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128014": {
+      "content": "<|reserved_special_token_6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128015": {
+      "content": "<|reserved_special_token_7|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128016": {
+      "content": "<|reserved_special_token_8|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128017": {
+      "content": "<|reserved_special_token_9|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128018": {
+      "content": "<|reserved_special_token_10|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128019": {
+      "content": "<|reserved_special_token_11|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128020": {
+      "content": "<|reserved_special_token_12|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128021": {
+      "content": "<|reserved_special_token_13|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128022": {
+      "content": "<|reserved_special_token_14|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128023": {
+      "content": "<|reserved_special_token_15|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128024": {
+      "content": "<|reserved_special_token_16|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128025": {
+      "content": "<|reserved_special_token_17|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128026": {
+      "content": "<|reserved_special_token_18|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128027": {
+      "content": "<|reserved_special_token_19|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128028": {
+      "content": "<|reserved_special_token_20|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128029": {
+      "content": "<|reserved_special_token_21|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128030": {
+      "content": "<|reserved_special_token_22|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128031": {
+      "content": "<|reserved_special_token_23|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128032": {
+      "content": "<|reserved_special_token_24|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128033": {
+      "content": "<|reserved_special_token_25|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128034": {
+      "content": "<|reserved_special_token_26|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128035": {
+      "content": "<|reserved_special_token_27|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128036": {
+      "content": "<|reserved_special_token_28|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128037": {
+      "content": "<|reserved_special_token_29|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128038": {
+      "content": "<|reserved_special_token_30|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128039": {
+      "content": "<|reserved_special_token_31|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128040": {
+      "content": "<|reserved_special_token_32|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128041": {
+      "content": "<|reserved_special_token_33|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128042": {
+      "content": "<|reserved_special_token_34|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128043": {
+      "content": "<|reserved_special_token_35|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128044": {
+      "content": "<|reserved_special_token_36|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128045": {
+      "content": "<|reserved_special_token_37|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128046": {
+      "content": "<|reserved_special_token_38|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128047": {
+      "content": "<|reserved_special_token_39|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128048": {
+      "content": "<|reserved_special_token_40|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128049": {
+      "content": "<|reserved_special_token_41|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128050": {
+      "content": "<|reserved_special_token_42|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128051": {
+      "content": "<|reserved_special_token_43|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128052": {
+      "content": "<|reserved_special_token_44|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128053": {
+      "content": "<|reserved_special_token_45|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128054": {
+      "content": "<|reserved_special_token_46|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128055": {
+      "content": "<|reserved_special_token_47|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128056": {
+      "content": "<|reserved_special_token_48|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128057": {
+      "content": "<|reserved_special_token_49|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128058": {
+      "content": "<|reserved_special_token_50|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128059": {
+      "content": "<|reserved_special_token_51|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128060": {
+      "content": "<|reserved_special_token_52|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128061": {
+      "content": "<|reserved_special_token_53|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128062": {
+      "content": "<|reserved_special_token_54|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128063": {
+      "content": "<|reserved_special_token_55|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128064": {
+      "content": "<|reserved_special_token_56|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128065": {
+      "content": "<|reserved_special_token_57|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128066": {
+      "content": "<|reserved_special_token_58|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128067": {
+      "content": "<|reserved_special_token_59|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128068": {
+      "content": "<|reserved_special_token_60|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128069": {
+      "content": "<|reserved_special_token_61|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128070": {
+      "content": "<|reserved_special_token_62|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128071": {
+      "content": "<|reserved_special_token_63|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128072": {
+      "content": "<|reserved_special_token_64|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128073": {
+      "content": "<|reserved_special_token_65|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128074": {
+      "content": "<|reserved_special_token_66|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128075": {
+      "content": "<|reserved_special_token_67|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128076": {
+      "content": "<|reserved_special_token_68|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128077": {
+      "content": "<|reserved_special_token_69|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128078": {
+      "content": "<|reserved_special_token_70|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128079": {
+      "content": "<|reserved_special_token_71|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128080": {
+      "content": "<|reserved_special_token_72|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128081": {
+      "content": "<|reserved_special_token_73|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128082": {
+      "content": "<|reserved_special_token_74|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128083": {
+      "content": "<|reserved_special_token_75|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128084": {
+      "content": "<|reserved_special_token_76|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128085": {
+      "content": "<|reserved_special_token_77|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128086": {
+      "content": "<|reserved_special_token_78|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128087": {
+      "content": "<|reserved_special_token_79|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128088": {
+      "content": "<|reserved_special_token_80|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128089": {
+      "content": "<|reserved_special_token_81|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128090": {
+      "content": "<|reserved_special_token_82|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128091": {
+      "content": "<|reserved_special_token_83|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128092": {
+      "content": "<|reserved_special_token_84|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128093": {
+      "content": "<|reserved_special_token_85|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128094": {
+      "content": "<|reserved_special_token_86|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128095": {
+      "content": "<|reserved_special_token_87|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128096": {
+      "content": "<|reserved_special_token_88|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128097": {
+      "content": "<|reserved_special_token_89|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128098": {
+      "content": "<|reserved_special_token_90|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128099": {
+      "content": "<|reserved_special_token_91|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128100": {
+      "content": "<|reserved_special_token_92|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128101": {
+      "content": "<|reserved_special_token_93|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128102": {
+      "content": "<|reserved_special_token_94|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128103": {
+      "content": "<|reserved_special_token_95|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128104": {
+      "content": "<|reserved_special_token_96|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128105": {
+      "content": "<|reserved_special_token_97|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128106": {
+      "content": "<|reserved_special_token_98|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128107": {
+      "content": "<|reserved_special_token_99|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128108": {
+      "content": "<|reserved_special_token_100|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128109": {
+      "content": "<|reserved_special_token_101|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128110": {
+      "content": "<|reserved_special_token_102|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128111": {
+      "content": "<|reserved_special_token_103|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128112": {
+      "content": "<|reserved_special_token_104|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128113": {
+      "content": "<|reserved_special_token_105|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128114": {
+      "content": "<|reserved_special_token_106|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128115": {
+      "content": "<|reserved_special_token_107|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128116": {
+      "content": "<|reserved_special_token_108|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128117": {
+      "content": "<|reserved_special_token_109|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128118": {
+      "content": "<|reserved_special_token_110|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128119": {
+      "content": "<|reserved_special_token_111|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128120": {
+      "content": "<|reserved_special_token_112|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128121": {
+      "content": "<|reserved_special_token_113|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128122": {
+      "content": "<|reserved_special_token_114|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128123": {
+      "content": "<|reserved_special_token_115|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128124": {
+      "content": "<|reserved_special_token_116|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128125": {
+      "content": "<|reserved_special_token_117|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128126": {
+      "content": "<|reserved_special_token_118|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128127": {
+      "content": "<|reserved_special_token_119|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128128": {
+      "content": "<|reserved_special_token_120|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128129": {
+      "content": "<|reserved_special_token_121|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128130": {
+      "content": "<|reserved_special_token_122|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128131": {
+      "content": "<|reserved_special_token_123|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128132": {
+      "content": "<|reserved_special_token_124|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128133": {
+      "content": "<|reserved_special_token_125|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128134": {
+      "content": "<|reserved_special_token_126|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128135": {
+      "content": "<|reserved_special_token_127|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128136": {
+      "content": "<|reserved_special_token_128|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128137": {
+      "content": "<|reserved_special_token_129|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128138": {
+      "content": "<|reserved_special_token_130|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128139": {
+      "content": "<|reserved_special_token_131|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128140": {
+      "content": "<|reserved_special_token_132|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128141": {
+      "content": "<|reserved_special_token_133|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128142": {
+      "content": "<|reserved_special_token_134|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128143": {
+      "content": "<|reserved_special_token_135|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128144": {
+      "content": "<|reserved_special_token_136|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128145": {
+      "content": "<|reserved_special_token_137|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128146": {
+      "content": "<|reserved_special_token_138|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128147": {
+      "content": "<|reserved_special_token_139|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128148": {
+      "content": "<|reserved_special_token_140|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128149": {
+      "content": "<|reserved_special_token_141|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128150": {
+      "content": "<|reserved_special_token_142|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128151": {
+      "content": "<|reserved_special_token_143|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128152": {
+      "content": "<|reserved_special_token_144|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128153": {
+      "content": "<|reserved_special_token_145|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128154": {
+      "content": "<|reserved_special_token_146|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128155": {
+      "content": "<|reserved_special_token_147|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128156": {
+      "content": "<|reserved_special_token_148|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128157": {
+      "content": "<|reserved_special_token_149|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128158": {
+      "content": "<|reserved_special_token_150|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128159": {
+      "content": "<|reserved_special_token_151|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128160": {
+      "content": "<|reserved_special_token_152|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128161": {
+      "content": "<|reserved_special_token_153|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128162": {
+      "content": "<|reserved_special_token_154|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128163": {
+      "content": "<|reserved_special_token_155|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128164": {
+      "content": "<|reserved_special_token_156|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128165": {
+      "content": "<|reserved_special_token_157|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128166": {
+      "content": "<|reserved_special_token_158|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128167": {
+      "content": "<|reserved_special_token_159|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128168": {
+      "content": "<|reserved_special_token_160|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128169": {
+      "content": "<|reserved_special_token_161|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128170": {
+      "content": "<|reserved_special_token_162|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128171": {
+      "content": "<|reserved_special_token_163|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128172": {
+      "content": "<|reserved_special_token_164|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128173": {
+      "content": "<|reserved_special_token_165|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128174": {
+      "content": "<|reserved_special_token_166|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128175": {
+      "content": "<|reserved_special_token_167|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128176": {
+      "content": "<|reserved_special_token_168|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128177": {
+      "content": "<|reserved_special_token_169|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128178": {
+      "content": "<|reserved_special_token_170|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128179": {
+      "content": "<|reserved_special_token_171|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128180": {
+      "content": "<|reserved_special_token_172|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128181": {
+      "content": "<|reserved_special_token_173|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128182": {
+      "content": "<|reserved_special_token_174|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128183": {
+      "content": "<|reserved_special_token_175|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128184": {
+      "content": "<|reserved_special_token_176|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128185": {
+      "content": "<|reserved_special_token_177|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128186": {
+      "content": "<|reserved_special_token_178|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128187": {
+      "content": "<|reserved_special_token_179|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128188": {
+      "content": "<|reserved_special_token_180|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128189": {
+      "content": "<|reserved_special_token_181|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128190": {
+      "content": "<|reserved_special_token_182|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128191": {
+      "content": "<|reserved_special_token_183|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128192": {
+      "content": "<|reserved_special_token_184|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128193": {
+      "content": "<|reserved_special_token_185|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128194": {
+      "content": "<|reserved_special_token_186|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128195": {
+      "content": "<|reserved_special_token_187|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128196": {
+      "content": "<|reserved_special_token_188|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128197": {
+      "content": "<|reserved_special_token_189|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128198": {
+      "content": "<|reserved_special_token_190|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128199": {
+      "content": "<|reserved_special_token_191|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128200": {
+      "content": "<|reserved_special_token_192|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128201": {
+      "content": "<|reserved_special_token_193|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128202": {
+      "content": "<|reserved_special_token_194|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128203": {
+      "content": "<|reserved_special_token_195|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128204": {
+      "content": "<|reserved_special_token_196|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128205": {
+      "content": "<|reserved_special_token_197|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128206": {
+      "content": "<|reserved_special_token_198|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128207": {
+      "content": "<|reserved_special_token_199|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128208": {
+      "content": "<|reserved_special_token_200|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128209": {
+      "content": "<|reserved_special_token_201|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128210": {
+      "content": "<|reserved_special_token_202|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128211": {
+      "content": "<|reserved_special_token_203|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128212": {
+      "content": "<|reserved_special_token_204|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128213": {
+      "content": "<|reserved_special_token_205|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128214": {
+      "content": "<|reserved_special_token_206|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128215": {
+      "content": "<|reserved_special_token_207|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128216": {
+      "content": "<|reserved_special_token_208|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128217": {
+      "content": "<|reserved_special_token_209|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128218": {
+      "content": "<|reserved_special_token_210|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128219": {
+      "content": "<|reserved_special_token_211|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128220": {
+      "content": "<|reserved_special_token_212|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128221": {
+      "content": "<|reserved_special_token_213|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128222": {
+      "content": "<|reserved_special_token_214|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128223": {
+      "content": "<|reserved_special_token_215|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128224": {
+      "content": "<|reserved_special_token_216|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128225": {
+      "content": "<|reserved_special_token_217|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128226": {
+      "content": "<|reserved_special_token_218|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128227": {
+      "content": "<|reserved_special_token_219|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128228": {
+      "content": "<|reserved_special_token_220|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128229": {
+      "content": "<|reserved_special_token_221|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128230": {
+      "content": "<|reserved_special_token_222|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128231": {
+      "content": "<|reserved_special_token_223|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128232": {
+      "content": "<|reserved_special_token_224|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128233": {
+      "content": "<|reserved_special_token_225|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128234": {
+      "content": "<|reserved_special_token_226|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128235": {
+      "content": "<|reserved_special_token_227|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128236": {
+      "content": "<|reserved_special_token_228|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128237": {
+      "content": "<|reserved_special_token_229|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128238": {
+      "content": "<|reserved_special_token_230|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128239": {
+      "content": "<|reserved_special_token_231|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128240": {
+      "content": "<|reserved_special_token_232|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128241": {
+      "content": "<|reserved_special_token_233|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128242": {
+      "content": "<|reserved_special_token_234|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128243": {
+      "content": "<|reserved_special_token_235|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128244": {
+      "content": "<|reserved_special_token_236|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128245": {
+      "content": "<|reserved_special_token_237|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128246": {
+      "content": "<|reserved_special_token_238|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128247": {
+      "content": "<|reserved_special_token_239|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128248": {
+      "content": "<|reserved_special_token_240|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128249": {
+      "content": "<|reserved_special_token_241|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128250": {
+      "content": "<|reserved_special_token_242|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128251": {
+      "content": "<|reserved_special_token_243|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128252": {
+      "content": "<|reserved_special_token_244|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128253": {
+      "content": "<|reserved_special_token_245|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128254": {
+      "content": "<|reserved_special_token_246|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128255": {
+      "content": "<|reserved_special_token_247|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|begin_of_text|>",
+  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n    {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n    {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n            {%- for arg_name, arg_val in tool_call.arguments | items %}\n                {{- arg_name + '=\"' + arg_val + '\"' }}\n                {%- if not loop.last %}\n                    {{- \", \" }}\n                {%- endif %}\n                {%- endfor %}\n            {{- \")\" }}\n        {%- else  %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n            {{- '\"parameters\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- \"}\" }}\n        {%- endif %}\n        {%- if builtin_tools is defined %}\n            {#- This means we're in ipython mode #}\n            {{- \"<|eom_id|>\" }}\n        {%- else %}\n            {{- \"<|eot_id|>\" }}\n        {%- endif %}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}