metadata
license: apache-2.0
base_model:
- Qwen/Qwen3-Reranker-8B
pipeline_tag: text-classification
tags:
- transformers
Qwen3-Reranker-8B-W4A16-G128
GPTQ Quantized Qwen/Qwen3-Reranker-8B with Ultrachat, THUIR/T2Ranking and m-a-p/COIG-CQIA for calibration set.
What's the benefit?
VRAM Usage: more than 24G -> 19624M, make it available on 3090/4090. (w/o FA2, according to Embedding model's result).
What's the cost?
I think <5% accuracy, further evaluation on the way...
The Embedding one shows ~0.7%.
How to use it?
pip install compressed-tensors optimum and auto-gptq / gptqmodel, then goto the official usage guide.