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vilm/vinallama-12.5b-chat-DUS - GGUF

This repo contains GGUF format model files for vilm/vinallama-12.5b-chat-DUS.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template


Model file specification

Filename Quant type File Size Description
vinallama-12.5b-chat-DUS-Q2_K.gguf Q2_K 4.684 GB smallest, significant quality loss - not recommended for most purposes
vinallama-12.5b-chat-DUS-Q3_K_S.gguf Q3_K_S 5.458 GB very small, high quality loss
vinallama-12.5b-chat-DUS-Q3_K_M.gguf Q3_K_M 6.105 GB very small, high quality loss
vinallama-12.5b-chat-DUS-Q3_K_L.gguf Q3_K_L 6.674 GB small, substantial quality loss
vinallama-12.5b-chat-DUS-Q4_0.gguf Q4_0 7.096 GB legacy; small, very high quality loss - prefer using Q3_K_M
vinallama-12.5b-chat-DUS-Q4_K_S.gguf Q4_K_S 7.143 GB small, greater quality loss
vinallama-12.5b-chat-DUS-Q4_K_M.gguf Q4_K_M 7.574 GB medium, balanced quality - recommended
vinallama-12.5b-chat-DUS-Q5_0.gguf Q5_0 8.637 GB legacy; medium, balanced quality - prefer using Q4_K_M
vinallama-12.5b-chat-DUS-Q5_K_S.gguf Q5_K_S 8.637 GB large, low quality loss - recommended
vinallama-12.5b-chat-DUS-Q5_K_M.gguf Q5_K_M 8.884 GB large, very low quality loss - recommended
vinallama-12.5b-chat-DUS-Q6_K.gguf Q6_K 10.275 GB very large, extremely low quality loss
vinallama-12.5b-chat-DUS-Q8_0.gguf Q8_0 13.308 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/vinallama-12.5b-chat-DUS-GGUF --include "vinallama-12.5b-chat-DUS-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/vinallama-12.5b-chat-DUS-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
126
GGUF
Model size
12.5B params
Architecture
llama

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Inference API
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