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--- |
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pipeline_tag: text-generation |
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inference: true |
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widget: |
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- text: 'def print_hello_world():' |
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example_title: Hello world |
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group: Python |
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license: bigcode-openrail-m |
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datasets: |
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- bigcode/the-stack-dedup |
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metrics: |
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- code_eval |
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library_name: transformers |
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tags: |
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- code |
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- TensorBlock |
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- GGUF |
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base_model: bigcode/tiny_starcoder_py |
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model-index: |
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- name: Tiny-StarCoder-Py |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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name: HumanEval |
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type: openai_humaneval |
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metrics: |
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- type: pass@1 |
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value: 7.84% |
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name: pass@1 |
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verified: false |
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--- |
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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[](https://tensorblock.co) |
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[](https://twitter.com/tensorblock_aoi) |
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[](https://discord.gg/Ej5NmeHFf2) |
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[](https://github.com/TensorBlock) |
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[](https://t.me/TensorBlock) |
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## bigcode/tiny_starcoder_py - GGUF |
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This repo contains GGUF format model files for [bigcode/tiny_starcoder_py](https://huggingface.co/bigcode/tiny_starcoder_py). |
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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). |
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## Our projects |
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<table border="1" cellspacing="0" cellpadding="10"> |
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<tr> |
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<th colspan="2" style="font-size: 25px;">Forge</th> |
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</tr> |
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<tr> |
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<th colspan="2"> |
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<img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/> |
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</th> |
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</tr> |
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<tr> |
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<th colspan="2">An OpenAI-compatible multi-provider routing layer.</th> |
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</tr> |
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<tr> |
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<th colspan="2"> |
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<a href="https://github.com/TensorBlock/forge" target="_blank" style=" |
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display: inline-block; |
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padding: 8px 16px; |
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background-color: #FF7F50; |
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color: white; |
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text-decoration: none; |
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border-radius: 6px; |
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font-weight: bold; |
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font-family: sans-serif; |
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">π Try it now! π</a> |
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</th> |
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</tr> |
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|
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<tr> |
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<th style="font-size: 25px;">Awesome MCP Servers</th> |
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<th style="font-size: 25px;">TensorBlock Studio</th> |
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</tr> |
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<tr> |
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<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th> |
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<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th> |
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</tr> |
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<tr> |
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<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th> |
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<th>A lightweight, open, and extensible multi-LLM interaction studio.</th> |
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</tr> |
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<tr> |
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<th> |
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<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style=" |
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display: inline-block; |
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padding: 8px 16px; |
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background-color: #FF7F50; |
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color: white; |
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text-decoration: none; |
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border-radius: 6px; |
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font-weight: bold; |
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font-family: sans-serif; |
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">π See what we built π</a> |
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</th> |
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<th> |
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<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style=" |
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display: inline-block; |
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padding: 8px 16px; |
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background-color: #FF7F50; |
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color: white; |
|
text-decoration: none; |
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border-radius: 6px; |
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font-weight: bold; |
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font-family: sans-serif; |
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">π See what we built π</a> |
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</th> |
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</tr> |
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</table> |
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## Prompt template |
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``` |
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``` |
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## Model file specification |
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| Filename | Quant type | File Size | Description | |
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| -------- | ---------- | --------- | ----------- | |
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| [tiny_starcoder_py-Q2_K.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q2_K.gguf) | Q2_K | 0.097 GB | smallest, significant quality loss - not recommended for most purposes | |
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| [tiny_starcoder_py-Q3_K_S.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q3_K_S.gguf) | Q3_K_S | 0.103 GB | very small, high quality loss | |
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| [tiny_starcoder_py-Q3_K_M.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q3_K_M.gguf) | Q3_K_M | 0.112 GB | very small, high quality loss | |
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| [tiny_starcoder_py-Q3_K_L.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q3_K_L.gguf) | Q3_K_L | 0.118 GB | small, substantial quality loss | |
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| [tiny_starcoder_py-Q4_0.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q4_0.gguf) | Q4_0 | 0.117 GB | legacy; small, very high quality loss - prefer using Q3_K_M | |
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| [tiny_starcoder_py-Q4_K_S.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q4_K_S.gguf) | Q4_K_S | 0.118 GB | small, greater quality loss | |
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| [tiny_starcoder_py-Q4_K_M.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q4_K_M.gguf) | Q4_K_M | 0.125 GB | medium, balanced quality - recommended | |
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| [tiny_starcoder_py-Q5_0.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q5_0.gguf) | Q5_0 | 0.131 GB | legacy; medium, balanced quality - prefer using Q4_K_M | |
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| [tiny_starcoder_py-Q5_K_S.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q5_K_S.gguf) | Q5_K_S | 0.131 GB | large, low quality loss - recommended | |
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| [tiny_starcoder_py-Q5_K_M.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q5_K_M.gguf) | Q5_K_M | 0.136 GB | large, very low quality loss - recommended | |
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| [tiny_starcoder_py-Q6_K.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q6_K.gguf) | Q6_K | 0.146 GB | very large, extremely low quality loss | |
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| [tiny_starcoder_py-Q8_0.gguf](https://huggingface.co/tensorblock/tiny_starcoder_py-GGUF/blob/main/tiny_starcoder_py-Q8_0.gguf) | Q8_0 | 0.182 GB | very large, extremely low quality loss - not recommended | |
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## Downloading instruction |
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### Command line |
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Firstly, install Huggingface Client |
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```shell |
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pip install -U "huggingface_hub[cli]" |
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``` |
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Then, downoad the individual model file the a local directory |
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```shell |
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huggingface-cli download tensorblock/tiny_starcoder_py-GGUF --include "tiny_starcoder_py-Q2_K.gguf" --local-dir MY_LOCAL_DIR |
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``` |
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If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: |
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```shell |
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huggingface-cli download tensorblock/tiny_starcoder_py-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' |
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``` |
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