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Meta-Llama-3-8B-4bit-SqueezeLLM – AI Model by jusjinuk | AlphaNeural AI | AlphaNeural AI
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Meta-Llama-3-8B-4bit-SqueezeLLM
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pytorch
llama
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meta-llama/Meta-Llama-3-8B
quantized
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Base model:
meta-llama/Meta-Llama-3-8B
Quantization method: SqueezeLLM
Target bit-width: 4
Backend kernel: Any-Precision-LLM kernel (
ap-gemv
)
Calibration data: RedPajama (1024 sentences / 4096 tokens)
Calibration objective: Next-token prediction
How to run
Follow the instruction in
https://github.com/snu-mllab/GuidedQuant
.
References
Model Paper
