Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,15 @@ 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
+Marx-3B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Marx-3B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Marx-3B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6f7a468c577b49bd292fb3ce0874993228e55441ebf8640c883861d85b8e98e
+size 1979924704

Marx-3B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f78c5bb1c36c74dad45429b5d7a9eb199ee56a1c071dbb394f1714a3df4ea43e
+size 2214548704

Marx-3B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:029942dc650266fcf558cb1cc62ee7049b52d67c698a654ae1400ab7c3d4b32c
+size 2139348704

Marx-3B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e81f9a3ad30e729436b253d684847b1d22c85559ce9be35913d48ba33a7017c1
+size 1979924704

Marx-3B-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c4ceee42b0b641a811a4b8d81f46aebfb188168835cffd9bc47b2f0f26c2202
+size 1979924704

Marx-3B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d55458fcc9802251acd2f0dd108fd96a2a4ac14336331a35ad3d90d1dd62f70
+size 2580116704

Marx-3B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5141db7996560c04b6f889939eb19ea69ed8ec8f4e50fa1c47956271eef1a1be
+size 2403156704

Marx-3B-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:435efbd8a81cfb048ab1770ca525bb37b8ececdd73219cc9da3e5aac489603b5
+size 2395412704

Marx-3B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45455903768b8a2adb0d88b6b2751af0bfb6cfaf8fcef2d01705290d4f627d88
+size 2757076704

Marx-3B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56ca42f41bb362c38c7399ebd0f286e855a8a762cf943c57997411c5d7709500
+size 2603156704

Marx-3B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81c871c06042c2a99cc171328fe61914c4089040a89bfe97d4db809733a623a2
+size 3641876704

Marx-3B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fc6eaf5067ef8807d9916b9c3ee84e4fff8c128e79273f782e37c4e4ea20abf
+size 3641876704

README.md

@@ -0,0 +1,178 @@
+---
+language:
+- en
+license: apache-2.0
+datasets:
+- totally-not-an-llm/everything-sharegptformat-morecleaned
+pipeline_tag: text-generation
+tags:
+- TensorBlock
+- GGUF
+base_model: acrastt/Marx-3B
+model-index:
+- name: Marx-3B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 43.17
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 72.68
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 28.46
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 39.09
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 65.59
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 1.29
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B
+      name: Open LLM Leaderboard
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## acrastt/Marx-3B - GGUF
+
+This repo contains GGUF format model files for [acrastt/Marx-3B](https://huggingface.co/acrastt/Marx-3B).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+## Prompt template
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Marx-3B-Q2_K.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q2_K.gguf) | Q2_K | 1.844 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Marx-3B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q3_K_S.gguf) | Q3_K_S | 1.844 GB | very small, high quality loss |
+| [Marx-3B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q3_K_M.gguf) | Q3_K_M | 1.992 GB | very small, high quality loss |
+| [Marx-3B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q3_K_L.gguf) | Q3_K_L | 2.062 GB | small, substantial quality loss |
+| [Marx-3B-Q4_0.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q4_0.gguf) | Q4_0 | 1.844 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Marx-3B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q4_K_S.gguf) | Q4_K_S | 2.238 GB | small, greater quality loss |
+| [Marx-3B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q4_K_M.gguf) | Q4_K_M | 2.403 GB | medium, balanced quality - recommended |
+| [Marx-3B-Q5_0.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q5_0.gguf) | Q5_0 | 2.231 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Marx-3B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q5_K_S.gguf) | Q5_K_S | 2.424 GB | large, low quality loss - recommended |
+| [Marx-3B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q5_K_M.gguf) | Q5_K_M | 2.568 GB | large, very low quality loss - recommended |
+| [Marx-3B-Q6_K.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q6_K.gguf) | Q6_K | 3.392 GB | very large, extremely low quality loss |
+| [Marx-3B-Q8_0.gguf](https://huggingface.co/tensorblock/Marx-3B-GGUF/tree/main/Marx-3B-Q8_0.gguf) | Q8_0 | 3.392 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/Marx-3B-GGUF --include "Marx-3B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/Marx-3B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```