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gemma-3-27b-it-4bit-GuidedQuant-LNQ – AI Model by jusjinuk | AlphaNeural AI
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jusjinuk
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gemma-3-27b-it-4bit-GuidedQuant-LNQ
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pytorch
gemma3
2505.07004
google/gemma-3-27b-it
quantized
gemma
us
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Base model:
google/gemma-3-27b-it
Quantization method: LNQ with GuidedQuant Hessian
Target bit-width: 4
Backend kernel: Any-Precision-LLM kernel (
ap-gemv
)
Calibration data: RedPajama (1024 sentences / 4096 tokens)
Calibration objective: Next-token prediction
num_groups (for GuidedQuant Hessian): 1
How to run
Follow the instruction in
https://github.com/snu-mllab/GuidedQuant
.
References
Model Paper
