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tensorblock/
rahatneuron_shortgpt_llama3_5L_50-GGUF

Name: rahatneuron_shortgpt_llama3_5L_50-GGUF
Availability: InStock

quantized

rahatneuron/shortgpt_llama3_5L_50

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rahatneuron/shortgpt_llama3_5L_50 - GGUF

This repo contains GGUF format model files for rahatneuron/shortgpt_llama3_5L_50.

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

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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
shortgpt_llama3_5L_50-Q2_K.gguf	Q2_K	1.179 GB	smallest, significant quality loss - not recommended for most purposes
shortgpt_llama3_5L_50-Q3_K_S.gguf	Q3_K_S	1.326 GB	very small, high quality loss
shortgpt_llama3_5L_50-Q3_K_M.gguf	Q3_K_M	1.446 GB	very small, high quality loss
shortgpt_llama3_5L_50-Q3_K_L.gguf	Q3_K_L	1.550 GB	small, substantial quality loss
shortgpt_llama3_5L_50-Q4_0.gguf	Q4_0	1.634 GB	legacy; small, very high quality loss - prefer using Q3_K_M
shortgpt_llama3_5L_50-Q4_K_S.gguf	Q4_K_S	1.642 GB	small, greater quality loss
shortgpt_llama3_5L_50-Q4_K_M.gguf	Q4_K_M	1.714 GB	medium, balanced quality - recommended
shortgpt_llama3_5L_50-Q5_0.gguf	Q5_0	1.923 GB	legacy; medium, balanced quality - prefer using Q4_K_M
shortgpt_llama3_5L_50-Q5_K_S.gguf	Q5_K_S	1.923 GB	large, low quality loss - recommended
shortgpt_llama3_5L_50-Q5_K_M.gguf	Q5_K_M	1.965 GB	large, very low quality loss - recommended
shortgpt_llama3_5L_50-Q6_K.gguf	Q6_K	2.231 GB	very large, extremely low quality loss
shortgpt_llama3_5L_50-Q8_0.gguf	Q8_0	2.887 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/rahatneuron_shortgpt_llama3_5L_50-GGUF --include "shortgpt_llama3_5L_50-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/rahatneuron_shortgpt_llama3_5L_50-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'