boboliu/Qwen3-Reranker-8B-W4A16-G128

🤗 Hugging Face 来源text-classificationapache-2.08.2B 参数30 GBsafetensors✓ 3 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo boboliu/Qwen3-Reranker-8B-W4A16-G128 ./model-folder
需要做种者 →

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.