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aixsatoshi/Honyaku-Multi-Translator-Swallow-ms7b - GGUF

This repo contains GGUF format model files for aixsatoshi/Honyaku-Multi-Translator-Swallow-ms7b.

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
Honyaku-Multi-Translator-Swallow-ms7b-Q2_K.gguf Q2_K 2.770 GB smallest, significant quality loss - not recommended for most purposes
Honyaku-Multi-Translator-Swallow-ms7b-Q3_K_S.gguf Q3_K_S 3.220 GB very small, high quality loss
Honyaku-Multi-Translator-Swallow-ms7b-Q3_K_M.gguf Q3_K_M 3.575 GB very small, high quality loss
Honyaku-Multi-Translator-Swallow-ms7b-Q3_K_L.gguf Q3_K_L 3.878 GB small, substantial quality loss
Honyaku-Multi-Translator-Swallow-ms7b-Q4_0.gguf Q4_0 4.170 GB legacy; small, very high quality loss - prefer using Q3_K_M
Honyaku-Multi-Translator-Swallow-ms7b-Q4_K_S.gguf Q4_K_S 4.202 GB small, greater quality loss
Honyaku-Multi-Translator-Swallow-ms7b-Q4_K_M.gguf Q4_K_M 4.430 GB medium, balanced quality - recommended
Honyaku-Multi-Translator-Swallow-ms7b-Q5_0.gguf Q5_0 5.065 GB legacy; medium, balanced quality - prefer using Q4_K_M
Honyaku-Multi-Translator-Swallow-ms7b-Q5_K_S.gguf Q5_K_S 5.065 GB large, low quality loss - recommended
Honyaku-Multi-Translator-Swallow-ms7b-Q5_K_M.gguf Q5_K_M 5.198 GB large, very low quality loss - recommended
Honyaku-Multi-Translator-Swallow-ms7b-Q6_K.gguf Q6_K 6.015 GB very large, extremely low quality loss
Honyaku-Multi-Translator-Swallow-ms7b-Q8_0.gguf Q8_0 7.790 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/Honyaku-Multi-Translator-Swallow-ms7b-GGUF --include "Honyaku-Multi-Translator-Swallow-ms7b-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/Honyaku-Multi-Translator-Swallow-ms7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
0
GGUF
Model size
7.33B params
Architecture
llama

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3-bit

4-bit

5-bit

6-bit

8-bit

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

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