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jsfs11/MixtureofMerges-MoE-4x7b-v4 - GGUF

This repo contains GGUF format model files for jsfs11/MixtureofMerges-MoE-4x7b-v4.

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
MixtureofMerges-MoE-4x7b-v4-Q2_K.gguf Q2_K 8.236 GB smallest, significant quality loss - not recommended for most purposes
MixtureofMerges-MoE-4x7b-v4-Q3_K_S.gguf Q3_K_S 9.717 GB very small, high quality loss
MixtureofMerges-MoE-4x7b-v4-Q3_K_M.gguf Q3_K_M 10.785 GB very small, high quality loss
MixtureofMerges-MoE-4x7b-v4-Q3_K_L.gguf Q3_K_L 11.683 GB small, substantial quality loss
MixtureofMerges-MoE-4x7b-v4-Q4_0.gguf Q4_0 12.688 GB legacy; small, very high quality loss - prefer using Q3_K_M
MixtureofMerges-MoE-4x7b-v4-Q4_K_S.gguf Q4_K_S 12.799 GB small, greater quality loss
MixtureofMerges-MoE-4x7b-v4-Q4_K_M.gguf Q4_K_M 13.607 GB medium, balanced quality - recommended
MixtureofMerges-MoE-4x7b-v4-Q5_0.gguf Q5_0 15.485 GB legacy; medium, balanced quality - prefer using Q4_K_M
MixtureofMerges-MoE-4x7b-v4-Q5_K_S.gguf Q5_K_S 15.485 GB large, low quality loss - recommended
MixtureofMerges-MoE-4x7b-v4-Q5_K_M.gguf Q5_K_M 15.958 GB large, very low quality loss - recommended
MixtureofMerges-MoE-4x7b-v4-Q6_K.gguf Q6_K 18.456 GB very large, extremely low quality loss
MixtureofMerges-MoE-4x7b-v4-Q8_0.gguf Q8_0 23.904 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/MixtureofMerges-MoE-4x7b-v4-GGUF --include "MixtureofMerges-MoE-4x7b-v4-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/MixtureofMerges-MoE-4x7b-v4-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
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GGUF
Model size
24.2B params
Architecture
llama

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Quantized
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Evaluation results