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tensorblock/seeklhy_codes-15b-GGUF
seeklhy_codes-15b-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. The card lists the license as apache-2.0.
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Downloads · 30 days
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.gguf14.7 GB · 100%
From the Hugging Face model README
This repo contains GGUF format model files for seeklhy/codes-15b.
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 |
|---|---|---|---|
| codes-15b-Q2_K.gguf | Q2_K | 6.303 GB | smallest, significant quality loss - not recommended for most purposes |
| codes-15b-Q3_K_S.gguf | Q3_K_S | 7.107 GB | very small, high quality loss |
| codes-15b-Q3_K_M.gguf | Q3_K_M | 8.356 GB | very small, high quality loss |
| codes-15b-Q3_K_L.gguf | Q3_K_L | 9.262 GB | small, substantial quality loss |
| codes-15b-Q4_0.gguf | Q4_0 | 9.160 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| codes-15b-Q4_K_S.gguf | Q4_K_S | 9.255 GB | small, greater quality loss |
| codes-15b-Q4_K_M.gguf | Q4_K_M | 10.136 GB | medium, balanced quality - recommended |
| codes-15b-Q5_0.gguf | Q5_0 | 11.093 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| codes-15b-Q5_K_S.gguf | Q5_K_S | 11.093 GB | large, low quality loss - recommended |
| codes-15b-Q5_K_M.gguf | Q5_K_M | 11.703 GB | large, very low quality loss - recommended |
| codes-15b-Q6_K.gguf | Q6_K | 13.147 GB | very large, extremely low quality loss |
| codes-15b-Q8_0.gguf | Q8_0 | 16.966 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/seeklhy_codes-15b-GGUF --include "codes-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/seeklhy_codes-15b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'