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tensorblock/Xenova_tiny_starcoder_py-GGUF
Xenova_tiny_starcoder_py-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.js.
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.gguf1.7 MB ยท 99%
From the Hugging Face model README
This repo contains GGUF format model files for Xenova/tiny_starcoder_py.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| tiny_starcoder_py-Q2_K.gguf | Q2_K | 0.002 GB | smallest, significant quality loss - not recommended for most purposes |
| tiny_starcoder_py-Q3_K_S.gguf | Q3_K_S | 0.002 GB | very small, high quality loss |
| tiny_starcoder_py-Q3_K_M.gguf | Q3_K_M | 0.002 GB | very small, high quality loss |
| tiny_starcoder_py-Q3_K_L.gguf | Q3_K_L | 0.002 GB | small, substantial quality loss |
| tiny_starcoder_py-Q4_0.gguf | Q4_0 | 0.002 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| tiny_starcoder_py-Q4_K_S.gguf | Q4_K_S | 0.002 GB | small, greater quality loss |
| tiny_starcoder_py-Q4_K_M.gguf | Q4_K_M | 0.002 GB | medium, balanced quality - recommended |
| tiny_starcoder_py-Q5_0.gguf | Q5_0 | 0.002 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| tiny_starcoder_py-Q5_K_S.gguf | Q5_K_S | 0.002 GB | large, low quality loss - recommended |
| tiny_starcoder_py-Q5_K_M.gguf | Q5_K_M | 0.002 GB | large, very low quality loss - recommended |
| tiny_starcoder_py-Q6_K.gguf | Q6_K | 0.002 GB | very large, extremely low quality loss |
| tiny_starcoder_py-Q8_0.gguf | Q8_0 | 0.002 GB | very large, extremely low quality loss - not recommended |
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/Xenova_tiny_starcoder_py-GGUF --include "tiny_starcoder_py-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:
huggingface-cli download tensorblock/Xenova_tiny_starcoder_py-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'