catplusplus/Qwen3-Embedding-4B-NVFP4

认证创作者 catplusplus 已认证
🤗 Hugging Face 来源apache-2.02.8B 参数4.2 GBsafetensors✓ 2 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 catplusplus/Qwen3-Embedding-4B-NVFP4 ./model-folder
需要做种者 →

I needed a model that does reliable matching between English and the 3 Japanese writting system, so I calibrated the compressed one with English/Japanese datasets as well as my private dataset. I included a script in extras, private dataset is not included but generation code is there for reference. Attention layers are left uncompressed for precision and this makes a noticable difference.