← Model index
text-ranking
Qwen/Qwen3-Reranker-4B
Qwen/Qwen3-Reranker-4B is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Likely commercial-friendly
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →SIMILAR OPTIONS
More text-ranking models
text-ranking
cross-encoder/ms-marco-MiniLM-L6-v2
cross-encoder/ms-marco-MiniLM-L6-v2 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 86,661,012♡ 314
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-ranking
cross-encoder/ms-marco-MiniLM-L4-v2
cross-encoder/ms-marco-MiniLM-L4-v2 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 5,875,402♡ 29
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-ranking
Alibaba-NLP/gte-reranker-modernbert-base
Alibaba-NLP/gte-reranker-modernbert-base is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 2,674,123♡ 98
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-ranking
Qwen/Qwen3-Reranker-4B
Qwen/Qwen3-Reranker-4B is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 12 GB. It is publicly listed on Hugging Face.
↓ 2,485,166♡ 155
4.0B12 GB+ VRAMapache-2.0
Deployment details →
text-ranking
cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
cross-encoder/mmarco-mMiniLMv2-L12-H384-v1 is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,972,569♡ 79
Unknown8 GB+ VRAMapache-2.0
Deployment details →
text-ranking
Qwen/Qwen3-VL-Reranker-2B
Qwen/Qwen3-VL-Reranker-2B is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,761,819♡ 218
2.0B8 GB+ VRAMapache-2.0
Deployment details →
Operate a GPU cloud or inference API?
Reach developers after they have selected a model and are ready to run it.