M37labsorg/Saransh-1.7B-GGUF
M37labsorg/Saransh-1.7B-GGUF is a summarization 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.
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 →More summarization models
Luigi/minicpm5-1b-cursor
Luigi/minicpm5-1b-cursor is a summarization model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mradermacher/Saransh-1.7B-GGUF
mradermacher/Saransh-1.7B-GGUF is a summarization model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
mradermacher/docubrief-qwen2.5-1.5b-GGUF
mradermacher/docubrief-qwen2.5-1.5b-GGUF is a summarization model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
M37labsorg/Saransh-1.7B-GGUF
M37labsorg/Saransh-1.7B-GGUF is a summarization model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Luigi/minicpm5-1b-arcsum
Luigi/minicpm5-1b-arcsum is a summarization model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
M37labsorg/Saransh-1.7B
M37labsorg/Saransh-1.7B is a summarization 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.