Instructions to use SeaLLMs/SeaLLM-7B-Hybrid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeaLLMs/SeaLLM-7B-Hybrid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SeaLLMs/SeaLLM-7B-Hybrid")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SeaLLMs/SeaLLM-7B-Hybrid") model = AutoModelForCausalLM.from_pretrained("SeaLLMs/SeaLLM-7B-Hybrid") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SeaLLMs/SeaLLM-7B-Hybrid with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SeaLLMs/SeaLLM-7B-Hybrid" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SeaLLMs/SeaLLM-7B-Hybrid", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SeaLLMs/SeaLLM-7B-Hybrid
- SGLang
How to use SeaLLMs/SeaLLM-7B-Hybrid with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "SeaLLMs/SeaLLM-7B-Hybrid" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SeaLLMs/SeaLLM-7B-Hybrid", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "SeaLLMs/SeaLLM-7B-Hybrid" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SeaLLMs/SeaLLM-7B-Hybrid", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SeaLLMs/SeaLLM-7B-Hybrid with Docker Model Runner:
docker model run hf.co/SeaLLMs/SeaLLM-7B-Hybrid
You need to agree to share your contact information to access this model
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
You agree to not use the models for any harmful, inappropriate, unethical or illegal purpose or intention. You agree to perform your own red teaming and provide related safety and security measures before deployment for any product relevant to our models and demos, and you must abide by and comply with local governance and regulations. In no event shall the models' authors be held liable for any claim, damages, or other liability arising from the use of the released weights, codes, or demos. The models and demos may be subject to export controls or restrictions in the United States or other countries or regions. You shall comply with applicable laws and regulations in your use of the demos.
Log in or Sign Up to review the conditions and access this model content.