Instructions to use kyutai/helium-1-preview-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyutai/helium-1-preview-2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kyutai/helium-1-preview-2b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("kyutai/helium-1-preview-2b") model = AutoModelForCausalLM.from_pretrained("kyutai/helium-1-preview-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use kyutai/helium-1-preview-2b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kyutai/helium-1-preview-2b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kyutai/helium-1-preview-2b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/kyutai/helium-1-preview-2b
- SGLang
How to use kyutai/helium-1-preview-2b 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 "kyutai/helium-1-preview-2b" \ --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": "kyutai/helium-1-preview-2b", "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 "kyutai/helium-1-preview-2b" \ --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": "kyutai/helium-1-preview-2b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use kyutai/helium-1-preview-2b with Docker Model Runner:
docker model run hf.co/kyutai/helium-1-preview-2b
fix architecture
ValueError: The checkpoint you are trying to load has model type `helium` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
and
"Overall, our architecture is almost identical to the one introduced by LLaMA 1, allowing an easy and straightforward deployment using existing tools such as MLX, vLLM, ollama or llama.cpp."
The issue there is that the code to support our model was only released recently in transformers so you can either use the github version of transformers or wait for the next release and install it via pip. Fwiw the PR that added it: https://github.com/huggingface/transformers/pull/35669 The llama architecture will not work out of the box as there are some differences in rope/rmsnorm.
Please support gguf (llama.cpp)