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princeton-nlp/Sheared-LLaMA-1.3B - GGUF

This repo contains GGUF format model files for princeton-nlp/Sheared-LLaMA-1.3B.

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
Sheared-LLaMA-1.3B-Q2_K.gguf Q2_K 0.559 GB smallest, significant quality loss - not recommended for most purposes
Sheared-LLaMA-1.3B-Q3_K_S.gguf Q3_K_S 0.641 GB very small, high quality loss
Sheared-LLaMA-1.3B-Q3_K_M.gguf Q3_K_M 0.703 GB very small, high quality loss
Sheared-LLaMA-1.3B-Q3_K_L.gguf Q3_K_L 0.743 GB small, substantial quality loss
Sheared-LLaMA-1.3B-Q4_0.gguf Q4_0 0.775 GB legacy; small, very high quality loss - prefer using Q3_K_M
Sheared-LLaMA-1.3B-Q4_K_S.gguf Q4_K_S 0.813 GB small, greater quality loss
Sheared-LLaMA-1.3B-Q4_K_M.gguf Q4_K_M 0.872 GB medium, balanced quality - recommended
Sheared-LLaMA-1.3B-Q5_0.gguf Q5_0 0.935 GB legacy; medium, balanced quality - prefer using Q4_K_M
Sheared-LLaMA-1.3B-Q5_K_S.gguf Q5_K_S 0.952 GB large, low quality loss - recommended
Sheared-LLaMA-1.3B-Q5_K_M.gguf Q5_K_M 1.001 GB large, very low quality loss - recommended
Sheared-LLaMA-1.3B-Q6_K.gguf Q6_K 1.170 GB very large, extremely low quality loss
Sheared-LLaMA-1.3B-Q8_0.gguf Q8_0 1.431 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/Sheared-LLaMA-1.3B-GGUF --include "Sheared-LLaMA-1.3B-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/Sheared-LLaMA-1.3B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
159
GGUF
Model size
1.35B params
Architecture
llama

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Inference API
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