Image-Text-to-Text
Transformers
PyTorch
English
molmo
text-generation
multimodal
Mixture of Experts
olmo
olmoe
molmoe
custom_code
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, device_map="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
Update modeling_molmoe.py
#25
by pranay-ar - opened
- modeling_molmoe.py +1 -2
modeling_molmoe.py
CHANGED
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@@ -2468,8 +2468,7 @@ class MolmoForCausalLM(PreTrainedModel):
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del model_kwargs["images"]
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del model_kwargs["image_masks"]
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del model_kwargs["image_input_idx"]
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-
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-
model_kwargs[cache_name] = cache
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| 2473 |
model_kwargs["cache_position"] = model_kwargs["cache_position"][-1:] + num_new_tokens
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return model_kwargs
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| 2475 |
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del model_kwargs["images"]
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del model_kwargs["image_masks"]
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del model_kwargs["image_input_idx"]
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+
model_kwargs["past_key_values"] = outputs.past_key_values
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model_kwargs["cache_position"] = model_kwargs["cache_position"][-1:] + num_new_tokens
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return model_kwargs
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