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apple
/
OpenELM-3B-Instruct

Text Generation
Transformers
Safetensors
openelm
custom_code
Model card Files Files and versions
xet
Community
11

Instructions to use apple/OpenELM-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use apple/OpenELM-3B-Instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="apple/OpenELM-3B-Instruct", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("apple/OpenELM-3B-Instruct", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use apple/OpenELM-3B-Instruct with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "apple/OpenELM-3B-Instruct"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "apple/OpenELM-3B-Instruct",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/apple/OpenELM-3B-Instruct
  • SGLang

    How to use apple/OpenELM-3B-Instruct 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 "apple/OpenELM-3B-Instruct" \
        --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": "apple/OpenELM-3B-Instruct",
    		"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 "apple/OpenELM-3B-Instruct" \
            --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": "apple/OpenELM-3B-Instruct",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use apple/OpenELM-3B-Instruct with Docker Model Runner:

    docker model run hf.co/apple/OpenELM-3B-Instruct
OpenELM-3B-Instruct
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  • 3 contributors
History: 6 commits
pcuenq's picture
pcuenq HF Staff
AMLR license (#10)
8288250 verified about 1 year ago
  • .gitattributes
    1.52 kB
    add OpenELM-3B-Instruct about 2 years ago
  • LICENSE
    5.82 kB
    Update LICENSE about 1 year ago
  • README.md
    12.8 kB
    AMLR license (#10) about 1 year ago
  • config.json
    1.77 kB
    add OpenELM-3B-Instruct about 2 years ago
  • configuration_openelm.py
    14.3 kB
    add OpenELM-3B-Instruct about 2 years ago
  • generate_openelm.py
    7.45 kB
    add OpenELM-3B-Instruct about 2 years ago
  • generation_config.json
    111 Bytes
    add OpenELM-3B-Instruct about 2 years ago
  • model-00001-of-00002.safetensors
    4.94 GB
    xet
    add OpenELM-3B-Instruct about 2 years ago
  • model-00002-of-00002.safetensors
    1.13 GB
    xet
    add OpenELM-3B-Instruct about 2 years ago
  • model.safetensors.index.json
    24.2 kB
    add OpenELM-3B-Instruct about 2 years ago
  • modeling_openelm.py
    39.3 kB
    add OpenELM-3B-Instruct about 2 years ago