Instructions to use apple/OpenELM-450M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/OpenELM-450M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="apple/OpenELM-450M", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("apple/OpenELM-450M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use apple/OpenELM-450M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "apple/OpenELM-450M" # 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-450M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/apple/OpenELM-450M
- SGLang
How to use apple/OpenELM-450M 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-450M" \ --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-450M", "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-450M" \ --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-450M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use apple/OpenELM-450M with Docker Model Runner:
docker model run hf.co/apple/OpenELM-450M
Issue while converting to gguf
Hi,
I got the below error while tying to convert using llama.cpp. could you please let me know what is the problem with that. I have copied this repository(git clone https://huggingface.co/apple/OpenELM-450M).
python3 convert.py ../OpenELM-450M/ --outtype f16
Loading model file ../OpenELM-450M/model.safetensors
Traceback (most recent call last):
File "/home/ksu/SLM/llama.cpp/convert.py", line 1466, in
main()
File "/home/ksu/SLM/llama.cpp/convert.py", line 1413, in main
params = Params.load(model_plus)
File "/home/ksu/SLM/llama.cpp/convert.py", line 317, in load
params = Params.loadHFTransformerJson(model_plus.model, hf_config_path)
File "/home/ksu/SLM/llama.cpp/convert.py", line 236, in loadHFTransformerJson
raise Exception("failed to guess 'n_ctx'. This model is unknown or unsupported.\n"
Exception: failed to guess 'n_ctx'. This model is unknown or unsupported.
Suggestion: provide 'config.json' of the model in the same directory containing model files.