Qwen3 Embedding&Reranker GPTQ
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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.
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