tensorblock/agiin-13.6B-v0.1-GGUF

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mncai/agiin-13.6B-v0.1 - GGUF

This repo contains GGUF format model files for mncai/agiin-13.6B-v0.1.

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

### System:
{system_prompt}

### User:
{prompt}

### Assistant:

Filename	Quant type	File Size	Description
agiin-13.6B-v0.1-Q2_K.gguf	Q2_K	4.775 GB	smallest, significant quality loss - not recommended for most purposes
agiin-13.6B-v0.1-Q3_K_S.gguf	Q3_K_S	5.567 GB	very small, high quality loss
agiin-13.6B-v0.1-Q3_K_M.gguf	Q3_K_M	6.199 GB	very small, high quality loss
agiin-13.6B-v0.1-Q3_K_L.gguf	Q3_K_L	6.753 GB	small, substantial quality loss
agiin-13.6B-v0.1-Q4_0.gguf	Q4_0	7.255 GB	legacy; small, very high quality loss - prefer using Q3_K_M
agiin-13.6B-v0.1-Q4_K_S.gguf	Q4_K_S	7.305 GB	small, greater quality loss
agiin-13.6B-v0.1-Q4_K_M.gguf	Q4_K_M	7.709 GB	medium, balanced quality - recommended
agiin-13.6B-v0.1-Q5_0.gguf	Q5_0	8.845 GB	legacy; medium, balanced quality - prefer using Q4_K_M
agiin-13.6B-v0.1-Q5_K_S.gguf	Q5_K_S	8.845 GB	large, low quality loss - recommended
agiin-13.6B-v0.1-Q5_K_M.gguf	Q5_K_M	9.078 GB	large, very low quality loss - recommended
agiin-13.6B-v0.1-Q6_K.gguf	Q6_K	10.534 GB	very large, extremely low quality loss
agiin-13.6B-v0.1-Q8_0.gguf	Q8_0	13.643 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/agiin-13.6B-v0.1-GGUF --include "agiin-13.6B-v0.1-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/agiin-13.6B-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'