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Heng666/EastAsia-4x7B-Moe-experiment - GGUF

This repo contains GGUF format model files for Heng666/EastAsia-4x7B-Moe-experiment.

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

Prompt template


Model file specification

Filename Quant type File Size Description
EastAsia-4x7B-Moe-experiment-Q2_K.gguf Q2_K 6.802 GB smallest, significant quality loss - not recommended for most purposes
EastAsia-4x7B-Moe-experiment-Q3_K_S.gguf Q3_K_S 8.011 GB very small, high quality loss
EastAsia-4x7B-Moe-experiment-Q3_K_M.gguf Q3_K_M 8.893 GB very small, high quality loss
EastAsia-4x7B-Moe-experiment-Q3_K_L.gguf Q3_K_L 9.637 GB small, substantial quality loss
EastAsia-4x7B-Moe-experiment-Q4_0.gguf Q4_0 10.452 GB legacy; small, very high quality loss - prefer using Q3_K_M
EastAsia-4x7B-Moe-experiment-Q4_K_S.gguf Q4_K_S 10.542 GB small, greater quality loss
EastAsia-4x7B-Moe-experiment-Q4_K_M.gguf Q4_K_M 11.196 GB medium, balanced quality - recommended
EastAsia-4x7B-Moe-experiment-Q5_0.gguf Q5_0 12.750 GB legacy; medium, balanced quality - prefer using Q4_K_M
EastAsia-4x7B-Moe-experiment-Q5_K_S.gguf Q5_K_S 12.750 GB large, low quality loss - recommended
EastAsia-4x7B-Moe-experiment-Q5_K_M.gguf Q5_K_M 13.134 GB large, very low quality loss - recommended
EastAsia-4x7B-Moe-experiment-Q6_K.gguf Q6_K 15.192 GB very large, extremely low quality loss
EastAsia-4x7B-Moe-experiment-Q8_0.gguf Q8_0 19.676 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/EastAsia-4x7B-Moe-experiment-GGUF --include "EastAsia-4x7B-Moe-experiment-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/EastAsia-4x7B-Moe-experiment-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
72
GGUF
Model size
18.5B params
Architecture
llama

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Inference API
Unable to determine this model's library. Check the docs .

Model tree for tensorblock/EastAsia-4x7B-Moe-experiment-GGUF

Quantized
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this model

Evaluation results