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tensorblock/Mixtral-8x7B-Instruct-v0.1-GGUF

🤗 Hugging Face sourceapache-2.0704 GBGGUF✓ 2 checksumsupdated today
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curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo tensorblock/Mixtral-8x7B-Instruct-v0.1-GGUF ./model-folder
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mistralai/Mixtral-8x7B-Instruct-v0.1 - GGUF

This repo contains GGUF format model files for mistralai/Mixtral-8x7B-Instruct-v0.1.

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

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## Prompt template
<s> [INST] {system_prompt}

{prompt} [/INST]

Model file specification

Filename Quant type File Size Description
Mixtral-8x7B-Instruct-v0.1-Q2_K.gguf Q2_K 17.311 GB smallest, significant quality loss - not recommended for most purposes
Mixtral-8x7B-Instruct-v0.1-Q3_K_S.gguf Q3_K_S 20.433 GB very small, high quality loss
Mixtral-8x7B-Instruct-v0.1-Q3_K_M.gguf Q3_K_M 22.546 GB very small, high quality loss
Mixtral-8x7B-Instruct-v0.1-Q3_K_L.gguf Q3_K_L 24.170 GB small, substantial quality loss
Mixtral-8x7B-Instruct-v0.1-Q4_0.gguf Q4_0 26.444 GB legacy; small, very high quality loss - prefer using Q3_K_M
Mixtral-8x7B-Instruct-v0.1-Q4_K_S.gguf Q4_K_S 26.746 GB small, greater quality loss
Mixtral-8x7B-Instruct-v0.1-Q4_K_M.gguf Q4_K_M 28.448 GB medium, balanced quality - recommended
Mixtral-8x7B-Instruct-v0.1-Q5_0.gguf Q5_0 32.231 GB legacy; medium, balanced quality - prefer using Q4_K_M
Mixtral-8x7B-Instruct-v0.1-Q5_K_S.gguf Q5_K_S 32.231 GB large, low quality loss - recommended
Mixtral-8x7B-Instruct-v0.1-Q5_K_M.gguf Q5_K_M 33.230 GB large, very low quality loss - recommended
Mixtral-8x7B-Instruct-v0.1-Q6_K.gguf Q6_K 38.381 GB very large, extremely low quality loss
Mixtral-8x7B-Instruct-v0.1-Q8_0.gguf Q8_0 49.626 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/Mixtral-8x7B-Instruct-v0.1-GGUF --include "Mixtral-8x7B-Instruct-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/Mixtral-8x7B-Instruct-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'