Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Llama-3.1-8B-Instruct-3bit-GuidedQuant-LNQ – AI Model by jusjinuk | AlphaNeural AI
You can deploy this model and start earning money today!
jusjinuk
/
Llama-3.1-8B-Instruct-3bit-GuidedQuant-LNQ
like
0
pytorch
llama
2505.07004
meta-llama/Llama-3.1-8B-Instruct
quantized
llama3.1
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Model Card
Base model:
meta-llama/Llama-3.1-8B-Instruct
Quantization method: LNQ with GuidedQuant Hessian
Target bit-width: 3
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
