TestMixtral-GGUF / README.md
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metadata
library_name: transformers
tags:
  - TensorBlock
  - GGUF
base_model: artek0chumak/TestMixtral
TensorBlock

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artek0chumak/TestMixtral - GGUF

This repo contains GGUF format model files for artek0chumak/TestMixtral.

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

Prompt template


Model file specification

Filename Quant type File Size Description
TestMixtral-Q2_K.gguf Q2_K 0.005 GB smallest, significant quality loss - not recommended for most purposes
TestMixtral-Q3_K_S.gguf Q3_K_S 0.005 GB very small, high quality loss
TestMixtral-Q3_K_M.gguf Q3_K_M 0.005 GB very small, high quality loss
TestMixtral-Q3_K_L.gguf Q3_K_L 0.005 GB small, substantial quality loss
TestMixtral-Q4_0.gguf Q4_0 0.005 GB legacy; small, very high quality loss - prefer using Q3_K_M
TestMixtral-Q4_K_S.gguf Q4_K_S 0.006 GB small, greater quality loss
TestMixtral-Q4_K_M.gguf Q4_K_M 0.006 GB medium, balanced quality - recommended
TestMixtral-Q5_0.gguf Q5_0 0.006 GB legacy; medium, balanced quality - prefer using Q4_K_M
TestMixtral-Q5_K_S.gguf Q5_K_S 0.006 GB large, low quality loss - recommended
TestMixtral-Q5_K_M.gguf Q5_K_M 0.006 GB large, very low quality loss - recommended
TestMixtral-Q6_K.gguf Q6_K 0.007 GB very large, extremely low quality loss
TestMixtral-Q8_0.gguf Q8_0 0.007 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/TestMixtral-GGUF --include "TestMixtral-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/TestMixtral-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'