facebook/sam2-hiera-tiny
facebook/sam2-hiera-tiny is a mask generation model indexed for deployment research. Estimated minimum GPU memory is 8 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 mask-generation models
facebook/sam3
facebook/sam3 is a mask generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. Access approval is required on Hugging Face.
facebook/sam2-hiera-base-plus
facebook/sam2-hiera-base-plus is a mask generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
facebook/sam2.1-hiera-large
facebook/sam2.1-hiera-large is a mask generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
facebook/sam2.1-hiera-tiny
facebook/sam2.1-hiera-tiny is a mask generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
facebook/sam2.1-hiera-small
facebook/sam2.1-hiera-small is a mask generation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
facebook/sam2.1-hiera-base-plus
facebook/sam2.1-hiera-base-plus is a mask generation model indexed for deployment research. Estimated minimum GPU memory is 8 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.