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Meta-Llama-3-70B-4bit-LNQ – AI Model by jusjinuk | AlphaNeural AI

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jusjinuk/
Meta-Llama-3-70B-4bit-LNQ

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Model Card

Base model: meta-llama/Meta-Llama-3-70B
Quantization method: LNQ
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