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bigcode/starcoder2-15b - GGUF

This repo contains GGUF format model files for bigcode/starcoder2-15b.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template


Model file specification

Filename Quant type File Size Description
starcoder2-15b-Q2_K.gguf Q2_K 5.768 GB smallest, significant quality loss - not recommended for most purposes
starcoder2-15b-Q3_K_S.gguf Q3_K_S 6.507 GB very small, high quality loss
starcoder2-15b-Q3_K_M.gguf Q3_K_M 7.492 GB very small, high quality loss
starcoder2-15b-Q3_K_L.gguf Q3_K_L 8.350 GB small, substantial quality loss
starcoder2-15b-Q4_0.gguf Q4_0 8.443 GB legacy; small, very high quality loss - prefer using Q3_K_M
starcoder2-15b-Q4_K_S.gguf Q4_K_S 8.532 GB small, greater quality loss
starcoder2-15b-Q4_K_M.gguf Q4_K_M 9.183 GB medium, balanced quality - recommended
starcoder2-15b-Q5_0.gguf Q5_0 10.265 GB legacy; medium, balanced quality - prefer using Q4_K_M
starcoder2-15b-Q5_K_S.gguf Q5_K_S 10.265 GB large, low quality loss - recommended
starcoder2-15b-Q5_K_M.gguf Q5_K_M 10.646 GB large, very low quality loss - recommended
starcoder2-15b-Q6_K.gguf Q6_K 12.201 GB very large, extremely low quality loss
starcoder2-15b-Q8_0.gguf Q8_0 15.800 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/starcoder2-15b-GGUF --include "starcoder2-15b-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/starcoder2-15b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
65
GGUF
Model size
16B params
Architecture
starcoder2

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Inference Examples
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Model tree for tensorblock/starcoder2-15b-GGUF

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Dataset used to train tensorblock/starcoder2-15b-GGUF

Evaluation results