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Llama-2-7b-hf-2bit-GuidedQuant-QTIP – AI Model by jusjinuk | AlphaNeural AI | AlphaNeural AI
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Llama-2-7b-hf-2bit-GuidedQuant-QTIP
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Base model:
meta-llama/Llama-2-7b-hf
Quantization method: BlockLDLQ with GuidedQuant Hessian
Target bit-width: 2
Backend kernel: QTIP kernel (HYB variant)
Calibration data: RedPajama (1024 sentences / 4096 tokens)
Calibration objective: Next-token prediction
num_groups (for GuidedQuant Hessian): 4
How to run
Follow the instruction in
https://github.com/snu-mllab/GuidedQuant
and
https://github.com/Cornell-RelaxML/qtip
References
Model Paper
