SupraLabs/SupraBrain-50M开源了新模型

SupraLabs SupraLabs/SupraBrain-50M SupraLabs/SupraBrain-50M https://huggingface.co/SupraLabs/SupraBrain-50M

SupraLabs/SupraBrain-50M · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/SupraLabs) SupraLabs (https://huggingface.co/SupraLabs) / SupraBrain-50M (https://huggingface.co/SupraLabs/SupraBrain-50M) like 13 Follow SupraLabs 358 Text Generation (https://huggingface.co/models?pipeline_tag=text-generation) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) English (https://huggingface.co/models?language=en) suprabrain (https://huggingface.co/models?other=suprabrain) gated-deltanet (https://huggingface.co/models?other=gated-deltanet) linear-attention (https://huggingface.co/models?other=linear-attention) sliding-window-attention (https://huggingface.co/models?other=sliding-window-attention) custom-architecture (https://huggingface.co/models?other=custom-architecture) custom_code (https://huggingface.co/models?other=custom_code) License: apache-2.0 Model card (https://huggingface.co/SupraLabs/SupraBrain-50M) Files Files and versions xet (https://huggingface.co/SupraLabs/SupraBrain-50M/tree/main) Community (https://huggingface.co/SupraLabs/SupraBrain-50M/discussions) Deploy Copy to bucket new Use this model Instructions to use SupraLabs/SupraBrain-50M with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/SupraLabs/SupraBrain-50M?library=transformers) How to use SupraLabs/SupraBrain-50M with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SupraLabs/SupraBrain-50M", trust_remote_code=True) # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("SupraLabs/SupraBrain-50M", trust_remote_code=True, device_map="auto") Notebooks Google Colab (https://huggingface.co/SupraLabs/SupraBrain-50M/colab) Kaggle (https://huggingface.co/SupraLabs/SupraBrain-50M/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) vLLM (https://huggingface.co/SupraLabs/SupraBrain-50M?local-app=vllm) How to use SupraLabs/SupraBrain-50M with vLLM: Install from pip and serve model # Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SupraLabs/SupraBrain-50M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SupraLabs/SupraBrain-50M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker docker model run hf.co/SupraLabs/SupraBrain-50M SG