xvyaward/owq

Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models".

/ 100

Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 8 / 25

Maturity 8 / 25

Community 13 / 25

Stars

Forks

Language

Python

License

—

Category

Last pushed

Mar 07, 2024

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/xvyaward/owq"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

intel/neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model...

bitsandbytes-foundation/bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

dropbox/hqq

Official implementation of Half-Quadratic Quantization (HQQ)

OpenGVLab/OmniQuant

[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.

Hsu1023/DuQuant

[NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger...