Instructions to use allenai/MolmoE-1B-0924 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/MolmoE-1B-0924 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="allenai/MolmoE-1B-0924", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("allenai/MolmoE-1B-0924", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use allenai/MolmoE-1B-0924 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "allenai/MolmoE-1B-0924" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "allenai/MolmoE-1B-0924", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/allenai/MolmoE-1B-0924
- SGLang
How to use allenai/MolmoE-1B-0924 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 "allenai/MolmoE-1B-0924" \ --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": "allenai/MolmoE-1B-0924", "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 "allenai/MolmoE-1B-0924" \ --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": "allenai/MolmoE-1B-0924", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use allenai/MolmoE-1B-0924 with Docker Model Runner:
docker model run hf.co/allenai/MolmoE-1B-0924
How to run it on a mobile device?
A lot of the non-allenai blogs online say that the model is small enough to run on a mobile device. Just wanted to know if this can be done.
Can the model be quantised using bitsandbytes to make it smaller to run on a mobile device?
Yes actually @soldni ran https://huggingface.co/allenai/OLMoE-1B-7B-0924-GGUF on a mobile device - not sure if there is a public guide about it somewhere?
We'll also need to merge MolmoE into llama.cpp first to make it work like the above one (i.e. a PR like https://github.com/ggerganov/llama.cpp/pull/9462)
stay tuned, we are trying to get this one running!