reranker · Ollama

awenleven/Qwen3-Reranker-4B

61 Pulls 1 Tag Updated 6 days ago

awenleven/bge-reranker-v2-m3

49 Pulls 1 Tag Updated 6 days ago

pdurugyan/qwen3-reranker-0.6b-q8_0

ggml-org/Qwen3-Reranker-0.6B-Q8_0 - This model was converted to GGUF format from Qwen/Qwen3-Reranker-0.6B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

embedding tools

426 Pulls 1 Tag Updated 2 weeks ago

hans-tech/bge-reranker-v2-m3

embedding

116 Pulls 1 Tag Updated 1 week ago

MedAIBase/Qwen3-VL-Reranker

The Qwen3-VL-Reranker model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model.

2b

2,798 Pulls 3 Tags Updated 4 months ago

bbjson/bge-reranker-base

bge-reranker-base

tools

1,342 Pulls 1 Tag Updated 2 months ago

B-A-M-N/Qwen3-Reranker-4B

754 Pulls 1 Tag Updated 5 months ago

B-A-M-N/qwen3-reranker-0.6b-fp16

tools

415 Pulls 1 Tag Updated 5 months ago

dengcao/Qwen3-Reranker-8B

Alibaba's text reranking model.Qwen3-Reranker-8B has the following features: Model Type: Text Reranking. Supported Languages: 100+ Languages. Number of Paramaters: 8B. Context Length: 32k.

208.4K Pulls 5 Tags Updated 11 months ago

Krakekai/qwen3-reranker-8b

Model Overview Qwen3-Reranker-8B-f16 has the following features: Model Type: Text Reranking Supported Languages: 100+ Languages Number of Paramaters: 8B Context Length: 32k

embedding

19.7K Pulls 1 Tag Updated 7 months ago

dengcao/Qwen3-Reranker-0.6B

Alibaba's text reranking model.Qwen3-Reranker-0.6B has the following features: Model Type: Text Reranking Supported Languages: 100+ Languages Number of Paramaters: 0.6B Context Length: 32k

tools

19.3K Pulls 2 Tags Updated 11 months ago

dengcao/Qwen3-Reranker-4B

Alibaba's text reranking model.Qwen3-Reranker-4B has the following features: Model Type: Text Reranking Supported Languages: 100+ Languages Number of Paramaters: 4B Context Length: 32k...

12.3K Pulls 3 Tags Updated 11 months ago

dengcao/bge-reranker-v2-m3

BGE-Reranker-v2-M3 是轻量级重排序模型，基于 BGE-M3-0.5B 架构优化，专为多语言检索任务设计，尤其强化了中英文混合场景下的性能。其核心定位是为RAG流程提供高效的上下文重排序能力。

embedding

9,355 Pulls 1 Tag Updated 11 months ago

bona/bge-reranker-v2-m3

https://huggingface.co/BAAI/bge-reranker-v2-m3

embedding

2,104 Pulls 1 Tag Updated 10 months ago

sam860/qwen3-reranker

tools

2,190 Pulls 2 Tags Updated 11 months ago

ExpedientFalcon/qwen3-reranker

1,531 Pulls 5 Tags Updated 10 months ago

dengcao/bce-reranker-base_v1

bce-reranker-base_v1是由网易有道开发的跨语种语义表征算法模型，擅长优化语义搜索结果和语义相关顺序精排，支持中英日韩四门语言，覆盖常见业务领域，支持长package rerank(512~32k)。

embedding

553 Pulls 1 Tag Updated 11 months ago

AuditAid/Qwen3_Reranker

Build llama.cpp For Reranker

360 Pulls 2 Tags Updated 10 months ago

fanyx/Qwen3-Reranker-0.6B-Q8_0

Qwen3-Reranker-0.6B-Q8_0

tools

308 Pulls 1 Tag Updated 11 months ago

Krakekai/qwen3-reranker-8b.gguf

Model Overview Qwen3-Reranker-8B-q8_0 has the following features: Model Type: Text Reranking Supported Languages: 100+ Languages Number of Paramaters: 8B Context Length: 32k

embedding

206 Pulls 1 Tag Updated 7 months ago