Instructions to use Efficient-Large-Model/VILA-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Efficient-Large-Model/VILA-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Efficient-Large-Model/VILA-7b")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Efficient-Large-Model/VILA-7b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Efficient-Large-Model/VILA-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Efficient-Large-Model/VILA-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Efficient-Large-Model/VILA-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Efficient-Large-Model/VILA-7b
- SGLang
How to use Efficient-Large-Model/VILA-7b 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 "Efficient-Large-Model/VILA-7b" \ --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": "Efficient-Large-Model/VILA-7b", "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 "Efficient-Large-Model/VILA-7b" \ --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": "Efficient-Large-Model/VILA-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Efficient-Large-Model/VILA-7b with Docker Model Runner:
docker model run hf.co/Efficient-Large-Model/VILA-7b
Inference code release
#1
by JamesHujy - opened
Thanks for releasing the checkpoint of VILA. Could you please release the inference code so everyone can run the VILA? Can't wait to try VILA with strong ICL capability.
Hi @JamesHujy
The code is released at github https://github.com/Efficient-Large-Model/VILA. Welcome to have a try and share you feedbacks!
Ligeng-Zhu changed discussion status to closed