Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Llama-3.1-70B-Instruct-2bit-GuidedQuant-QTIP-skip_0_v – AI Model by jusjinuk | AlphaNeural AI
You can deploy this model and start earning money today!
jusjinuk
/
Llama-3.1-70B-Instruct-2bit-GuidedQuant-QTIP-skip_0_v
like
0
safetensors
llama
2505.07004
meta-llama/Llama-3.2-3B-Instruct
quantized
llama3.1
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Model Card
Base model:
meta-llama/Llama-3.1-70B-Instruct
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): 1
skip_list: 0_v (not quantizing 0_v layer, following YAQA paper)
How to run
Follow the instruction in
https://github.com/snu-mllab/GuidedQuant
and
https://github.com/Cornell-RelaxML/qtip
References
Model Paper
