kread/llama-nemotron-rerank-1b-v2-GGUF
kread/llama-nemotron-rerank-1b-v2-GGUF is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 4 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.
Human review required
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →More text-ranking models
Qwen/Qwen3-Reranker-0.6B
Qwen/Qwen3-Reranker-0.6B is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Nicolassuez/Qwen3-Reranker-0.6B-W8A16-g128-gptq-resident
Nicolassuez/Qwen3-Reranker-0.6B-W8A16-g128-gptq-resident is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
paulalesius/Qwen3-Reranker-0.6B-GGUF
paulalesius/Qwen3-Reranker-0.6B-GGUF is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
kread/llama-nemotron-rerank-1b-v2-GGUF
kread/llama-nemotron-rerank-1b-v2-GGUF is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mradermacher/SkillReason-reranker-0.6b-GGUF
mradermacher/SkillReason-reranker-0.6b-GGUF is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
bealore/Qwen3-VL-Reranker-2B-GGUF
bealore/Qwen3-VL-Reranker-2B-GGUF is a text ranking model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Operate a GPU cloud or inference API?
Reach developers after they have selected a model and are ready to run it.