tensorblock/upstage_llama-30b-instruct-2048-GGUF

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upstage/llama-30b-instruct-2048 - GGUF

This repo contains GGUF format model files for upstage/llama-30b-instruct-2048.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename	Quant type	File Size	Description
llama-30b-instruct-2048-Q2_K.gguf	Q2_K	12.049 GB	smallest, significant quality loss - not recommended for most purposes
llama-30b-instruct-2048-Q3_K_S.gguf	Q3_K_S	14.064 GB	very small, high quality loss
llama-30b-instruct-2048-Q3_K_M.gguf	Q3_K_M	15.776 GB	very small, high quality loss
llama-30b-instruct-2048-Q3_K_L.gguf	Q3_K_L	17.280 GB	small, substantial quality loss
llama-30b-instruct-2048-Q4_0.gguf	Q4_0	18.356 GB	legacy; small, very high quality loss - prefer using Q3_K_M
llama-30b-instruct-2048-Q4_K_S.gguf	Q4_K_S	18.482 GB	small, greater quality loss
llama-30b-instruct-2048-Q4_K_M.gguf	Q4_K_M	19.621 GB	medium, balanced quality - recommended
llama-30b-instruct-2048-Q5_0.gguf	Q5_0	22.395 GB	legacy; medium, balanced quality - prefer using Q4_K_M
llama-30b-instruct-2048-Q5_K_S.gguf	Q5_K_S	22.395 GB	large, low quality loss - recommended
llama-30b-instruct-2048-Q5_K_M.gguf	Q5_K_M	23.047 GB	large, very low quality loss - recommended
llama-30b-instruct-2048-Q6_K.gguf	Q6_K	26.687 GB	very large, extremely low quality loss
llama-30b-instruct-2048-Q8_0.gguf	Q8_0	34.565 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/upstage_llama-30b-instruct-2048-GGUF --include "llama-30b-instruct-2048-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/upstage_llama-30b-instruct-2048-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'