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Llama-3.1-70B-qpal-df-msq-4.25bit – AI Model by bdbj | AlphaNeural AI

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bdbj/
Llama-3.1-70B-qpal-df-msq-4.25bit

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Model Card

Base model: meta-llama/Llama-3.1-70B
Quantization method: Memory constrained MSQ with Q-Palette
Target bit-width: 4.25
Backend kernel: Q-Palette kernel
Calibration data: N/A (data-free)

How to run

Follow the instruction in https://github.com/snu-mllab/Q-Palette.

References

Model Paper