Qwen
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Qwen3-Reranker-0.6B

sentence-transformers

text-generation

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Jev

#26 opened about 1 month ago by

request fp8 quantized model

#25 opened 5 months ago by

Add `id2label` and `label2id` configs

#23 opened 7 months ago by

Working GGUF for llama.cpp (native Windows/Linux, no WSL needed)

#22 opened 8 months ago by

Qwen/Qwen3-Reranker-0.6B compatibility question

#21 opened 8 months ago by

Performance Optimization recommendations for Qwen3 Reranker 0.6B on A100/H100 GPUs

#20 opened 10 months ago by

testing

#19 opened about 1 year ago by

Update README.md

#18 opened about 1 year ago by

Working 0.6B-Reranker Quants

#16 opened about 1 year ago by

JonathanMiddleton

which inference service can run qwen3-reranker-0.6B now?

#15 opened over 1 year ago by

06b_reranker

#14 opened over 1 year ago by

Why using prefix and suffix as input?

#13 opened over 1 year ago by

Training supported

#12 opened over 1 year ago by

Why in my test data 0.6B model not better than v2-m3

#11 opened over 1 year ago by

max_len_tokens

#10 opened over 1 year ago by

有没有计划给他转换成CrossEncoder 用SentenceTransfomrer调用？

#9 opened over 1 year ago by

ValueError: Cannot handle batch sizes > 1 if no padding token is defined. Raised when running `query_engine.query(query)` in llamaindex

#8 opened over 1 year ago by

vllm online serving

#7 opened over 1 year ago by

reranker0.6b and embedding0.6b are the same model weights？

#6 opened over 1 year ago by

Add pipeline tag, link to paper and project page

#4 opened over 1 year ago by

Converting a reranker model to a single label classification model

#3 opened over 1 year ago by

TypeError: argument of type 'NoneType' is not iterable

#2 opened over 1 year ago by

vllm open ai api

#1 opened over 1 year ago by