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tensorblock/
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-GGUF

Name: mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-GGUF
Availability: InStock

mlfoundations-dev/mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022

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mlfoundations-dev/mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022 - GGUF

This repo contains GGUF format model files for mlfoundations-dev/mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4823.

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## Prompt template

Model file specification

Filename	Quant type	File Size	Description
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q2_K.gguf	Q2_K	2.723 GB	smallest, significant quality loss - not recommended for most purposes
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q3_K_S.gguf	Q3_K_S	3.169 GB	very small, high quality loss
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q3_K_M.gguf	Q3_K_M	3.523 GB	very small, high quality loss
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q3_K_L.gguf	Q3_K_L	3.826 GB	small, substantial quality loss
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q4_0.gguf	Q4_0	4.113 GB	legacy; small, very high quality loss - prefer using Q3_K_M
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q4_K_S.gguf	Q4_K_S	4.145 GB	small, greater quality loss
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q4_K_M.gguf	Q4_K_M	4.373 GB	medium, balanced quality - recommended
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q5_0.gguf	Q5_0	5.002 GB	legacy; medium, balanced quality - prefer using Q4_K_M
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q5_K_S.gguf	Q5_K_S	5.002 GB	large, low quality loss - recommended
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q5_K_M.gguf	Q5_K_M	5.136 GB	large, very low quality loss - recommended
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q6_K.gguf	Q6_K	5.947 GB	very large, extremely low quality loss
mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-Q8_0.gguf	Q8_0	7.703 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/mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-GGUF --include "mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-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/mistral_7b_0-3_oh-dcft-v3.1-claude-3-5-sonnet-20241022-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'