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
+calme-2.8-qwen2-7b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+calme-2.8-qwen2-7b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,196 @@
+---
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- chat
+- qwen
+- qwen2
+- finetune
+- chatml
+- OpenHermes-2.5
+- HelpSteer2
+- Orca
+- SlimOrca
+- TensorBlock
+- GGUF
+base_model: MaziyarPanahi/calme-2.8-qwen2-7b
+datasets:
+- nvidia/HelpSteer2
+- teknium/OpenHermes-2.5
+- microsoft/orca-math-word-problems-200k
+- Open-Orca/SlimOrca
+pipeline_tag: text-generation
+inference: false
+model_creator: MaziyarPanahi
+quantized_by: MaziyarPanahi
+model-index:
+- name: Qwen2-7B-Instruct-v0.8
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 27.75
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 25.53
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 15.63
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 5.82
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
+      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: 12.06
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
+      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: 28.51
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8
+      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>
+
+## MaziyarPanahi/calme-2.8-qwen2-7b - GGUF
+
+This repo contains GGUF format model files for [MaziyarPanahi/calme-2.8-qwen2-7b](https://huggingface.co/MaziyarPanahi/calme-2.8-qwen2-7b).
+
+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).
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [calme-2.8-qwen2-7b-Q2_K.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q2_K.gguf) | Q2_K | 3.016 GB | smallest, significant quality loss - not recommended for most purposes |
+| [calme-2.8-qwen2-7b-Q3_K_S.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q3_K_S.gguf) | Q3_K_S | 3.492 GB | very small, high quality loss |
+| [calme-2.8-qwen2-7b-Q3_K_M.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q3_K_M.gguf) | Q3_K_M | 3.808 GB | very small, high quality loss |
+| [calme-2.8-qwen2-7b-Q3_K_L.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q3_K_L.gguf) | Q3_K_L | 4.088 GB | small, substantial quality loss |
+| [calme-2.8-qwen2-7b-Q4_0.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q4_0.gguf) | Q4_0 | 4.431 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [calme-2.8-qwen2-7b-Q4_K_S.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q4_K_S.gguf) | Q4_K_S | 4.458 GB | small, greater quality loss |
+| [calme-2.8-qwen2-7b-Q4_K_M.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q4_K_M.gguf) | Q4_K_M | 4.683 GB | medium, balanced quality - recommended |
+| [calme-2.8-qwen2-7b-Q5_0.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q5_0.gguf) | Q5_0 | 5.315 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [calme-2.8-qwen2-7b-Q5_K_S.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q5_K_S.gguf) | Q5_K_S | 5.315 GB | large, low quality loss - recommended |
+| [calme-2.8-qwen2-7b-Q5_K_M.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q5_K_M.gguf) | Q5_K_M | 5.445 GB | large, very low quality loss - recommended |
+| [calme-2.8-qwen2-7b-Q6_K.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q6_K.gguf) | Q6_K | 6.254 GB | very large, extremely low quality loss |
+| [calme-2.8-qwen2-7b-Q8_0.gguf](https://huggingface.co/tensorblock/calme-2.8-qwen2-7b-GGUF/blob/main/calme-2.8-qwen2-7b-Q8_0.gguf) | Q8_0 | 8.099 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/calme-2.8-qwen2-7b-GGUF --include "calme-2.8-qwen2-7b-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/calme-2.8-qwen2-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

calme-2.8-qwen2-7b-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2416cf17728acc22c00688afce47fd1dce7089e4a83562cccc1ac4a8be0a6c0a
+size 3015938368

calme-2.8-qwen2-7b-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4be47b52bf18ed46c44e02affd0bae266ebf4d6b1dcb632c2f7679e3c47eb7b8
+size 4088457536

calme-2.8-qwen2-7b-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69f44eaece6418cbaae7af5ced9e174231d31bdbf93b911ac0b280dfa3a81ad7
+size 3808389440

calme-2.8-qwen2-7b-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d085dc1c34079141a7f5639be2289e07c4f5638de0cee9d30a3653d216f55f1
+size 3492366656

calme-2.8-qwen2-7b-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:760fb7bad41dada06195dc37f42687b6d048181c8f583de7f5e45e128defd4b0
+size 4431388992

calme-2.8-qwen2-7b-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:028646fd5142f59a3a014499523be80ff00968197468051fb7432d1140227a7f
+size 4683071808

calme-2.8-qwen2-7b-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98719dff8da27c42bcd53ca18c1ab729ec01d42b394a8219970f5dfd37bb8330
+size 4457767232

calme-2.8-qwen2-7b-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b310c6b275cbf84126120723c28a1ebc48e7e9235a266616dfe42ba4ba4e9dd2
+size 5315174720

calme-2.8-qwen2-7b-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5f9587665e2ee6265407da6c3e5e99012744935b82f94f51149d799823edbdd
+size 5444829504

calme-2.8-qwen2-7b-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8892f982f920cdb38edf15effcd60876c8599020746a811f46f28b40c659588b
+size 5315174720

calme-2.8-qwen2-7b-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c268c91f5ca56adf9907d490294f75c893ec62e451c2b643fb6896855bc5bc84
+size 6254197056

calme-2.8-qwen2-7b-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21df803142226bfe90ba4a8a6de13d562e35f22e260e487c3d9f393f1f0b1ed5
+size 8098523456