Indexnusrefather/Erebus-RP-Mini-4B-Instruct-2608-v0.1
Indexnusrefather/Erebus-RP-Mini-4B-Instruct-2608-v0.1 is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 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 text-generation models
Qwen/Qwen3-0.6B
Qwen/Qwen3-0.6B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
Qwen/Qwen2.5-1.5B-Instruct
Qwen/Qwen2.5-1.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
Qwen/Qwen2.5-0.5B-Instruct
Qwen/Qwen2.5-0.5B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
meta-llama/Llama-3.2-1B-Instruct
meta-llama/Llama-3.2-1B-Instruct is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. Access approval is required on Hugging Face.
Qwen/Qwen3-1.7B
Qwen/Qwen3-1.7B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
google/gemma-3-1b-it
google/gemma-3-1b-it is a text generation model indexed for deployment research. Estimated minimum GPU memory is 6 GB. Access approval is required on Hugging Face.
Operate a GPU cloud or inference API?
Reach developers after they have selected a model and are ready to run it.