tensorblock/vistral-7b-chat-GGUF

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

minhtt/vistral-7b-chat - GGUF

This repo contains GGUF format model files for minhtt/vistral-7b-chat.

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

<s>[INST] <<SYS>>
{system_prompt}
<</SYS>>

{prompt} [/INST]

Filename	Quant type	File Size	Description
vistral-7b-chat-Q2_K.gguf	Q2_K	2.749 GB	smallest, significant quality loss - not recommended for most purposes
vistral-7b-chat-Q3_K_S.gguf	Q3_K_S	3.197 GB	very small, high quality loss
vistral-7b-chat-Q3_K_M.gguf	Q3_K_M	3.552 GB	very small, high quality loss
vistral-7b-chat-Q3_K_L.gguf	Q3_K_L	3.855 GB	small, substantial quality loss
vistral-7b-chat-Q4_0.gguf	Q4_0	4.145 GB	legacy; small, very high quality loss - prefer using Q3_K_M
vistral-7b-chat-Q4_K_S.gguf	Q4_K_S	4.177 GB	small, greater quality loss
vistral-7b-chat-Q4_K_M.gguf	Q4_K_M	4.405 GB	medium, balanced quality - recommended
vistral-7b-chat-Q5_0.gguf	Q5_0	5.037 GB	legacy; medium, balanced quality - prefer using Q4_K_M
vistral-7b-chat-Q5_K_S.gguf	Q5_K_S	5.037 GB	large, low quality loss - recommended
vistral-7b-chat-Q5_K_M.gguf	Q5_K_M	5.171 GB	large, very low quality loss - recommended
vistral-7b-chat-Q6_K.gguf	Q6_K	5.985 GB	very large, extremely low quality loss
vistral-7b-chat-Q8_0.gguf	Q8_0	7.751 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/vistral-7b-chat-GGUF --include "vistral-7b-chat-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/vistral-7b-chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'