Upload folder using huggingface_hub

.gitattributes

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README.md

@@ -0,0 +1,134 @@
+---
+pipeline_tag: text-generation
+inference:
+  parameters:
+    temperature: 0.2
+    top_p: 0.95
+widget:
+- text: 'def print_hello_world():'
+  example_title: Hello world
+  group: Python
+datasets:
+- bigcode/the-stack-v2-train
+license: bigcode-openrail-m
+library_name: transformers
+tags:
+- code
+- TensorBlock
+- GGUF
+base_model: bigcode/starcoder2-7b
+model-index:
+- name: starcoder2-7b
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: CruxEval-I
+      type: cruxeval-i
+    metrics:
+    - type: pass@1
+      value: 34.6
+  - task:
+      type: text-generation
+    dataset:
+      name: DS-1000
+      type: ds-1000
+    metrics:
+    - type: pass@1
+      value: 27.8
+  - task:
+      type: text-generation
+    dataset:
+      name: GSM8K (PAL)
+      type: gsm8k-pal
+    metrics:
+    - type: accuracy
+      value: 40.4
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval+
+      type: humanevalplus
+    metrics:
+    - type: pass@1
+      value: 29.9
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval
+      type: humaneval
+    metrics:
+    - type: pass@1
+      value: 35.4
+  - task:
+      type: text-generation
+    dataset:
+      name: RepoBench-v1.1
+      type: repobench-v1.1
+    metrics:
+    - type: edit-smiliarity
+      value: 72.07
+---
+
+<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>
+
+## bigcode/starcoder2-7b - GGUF
+
+This repo contains GGUF format model files for [bigcode/starcoder2-7b](https://huggingface.co/bigcode/starcoder2-7b).
+
+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).
+
+## Prompt template
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [starcoder2-7b-Q2_K.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q2_K.gguf) | Q2_K | 2.641 GB | smallest, significant quality loss - not recommended for most purposes |
+| [starcoder2-7b-Q3_K_S.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q3_K_S.gguf) | Q3_K_S | 2.960 GB | very small, high quality loss |
+| [starcoder2-7b-Q3_K_M.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q3_K_M.gguf) | Q3_K_M | 3.410 GB | very small, high quality loss |
+| [starcoder2-7b-Q3_K_L.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q3_K_L.gguf) | Q3_K_L | 3.794 GB | small, substantial quality loss |
+| [starcoder2-7b-Q4_0.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q4_0.gguf) | Q4_0 | 3.820 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [starcoder2-7b-Q4_K_S.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q4_K_S.gguf) | Q4_K_S | 3.860 GB | small, greater quality loss |
+| [starcoder2-7b-Q4_K_M.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q4_K_M.gguf) | Q4_K_M | 4.155 GB | medium, balanced quality - recommended |
+| [starcoder2-7b-Q5_0.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q5_0.gguf) | Q5_0 | 4.628 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [starcoder2-7b-Q5_K_S.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q5_K_S.gguf) | Q5_K_S | 4.628 GB | large, low quality loss - recommended |
+| [starcoder2-7b-Q5_K_M.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q5_K_M.gguf) | Q5_K_M | 4.801 GB | large, very low quality loss - recommended |
+| [starcoder2-7b-Q6_K.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q6_K.gguf) | Q6_K | 5.487 GB | very large, extremely low quality loss |
+| [starcoder2-7b-Q8_0.gguf](https://huggingface.co/tensorblock/starcoder2-7b-GGUF/tree/main/starcoder2-7b-Q8_0.gguf) | Q8_0 | 7.105 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/starcoder2-7b-GGUF --include "starcoder2-7b-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/starcoder2-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

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