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INSAIT-Institute/BgGPT-7B-Instruct-v0.1 - GGUF

This repo contains GGUF format model files for INSAIT-Institute/BgGPT-7B-Instruct-v0.1.

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

Prompt template

<s>[INST] {prompt} [/INST]

Model file specification

Filename Quant type File Size Description
BgGPT-7B-Instruct-v0.1-Q2_K.gguf Q2_K 2.748 GB smallest, significant quality loss - not recommended for most purposes
BgGPT-7B-Instruct-v0.1-Q3_K_S.gguf Q3_K_S 3.195 GB very small, high quality loss
BgGPT-7B-Instruct-v0.1-Q3_K_M.gguf Q3_K_M 3.550 GB very small, high quality loss
BgGPT-7B-Instruct-v0.1-Q3_K_L.gguf Q3_K_L 3.853 GB small, substantial quality loss
BgGPT-7B-Instruct-v0.1-Q4_0.gguf Q4_0 4.143 GB legacy; small, very high quality loss - prefer using Q3_K_M
BgGPT-7B-Instruct-v0.1-Q4_K_S.gguf Q4_K_S 4.175 GB small, greater quality loss
BgGPT-7B-Instruct-v0.1-Q4_K_M.gguf Q4_K_M 4.403 GB medium, balanced quality - recommended
BgGPT-7B-Instruct-v0.1-Q5_0.gguf Q5_0 5.035 GB legacy; medium, balanced quality - prefer using Q4_K_M
BgGPT-7B-Instruct-v0.1-Q5_K_S.gguf Q5_K_S 5.035 GB large, low quality loss - recommended
BgGPT-7B-Instruct-v0.1-Q5_K_M.gguf Q5_K_M 5.169 GB large, very low quality loss - recommended
BgGPT-7B-Instruct-v0.1-Q6_K.gguf Q6_K 5.983 GB very large, extremely low quality loss
BgGPT-7B-Instruct-v0.1-Q8_0.gguf Q8_0 7.748 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/BgGPT-7B-Instruct-v0.1-GGUF --include "BgGPT-7B-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/BgGPT-7B-Instruct-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
193
GGUF
Model size
7.29B params
Architecture
llama

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Inference API
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