Instructions to use ibm-research/PowerMoE-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/PowerMoE-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ibm-research/PowerMoE-3b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ibm-research/PowerMoE-3b") model = AutoModelForCausalLM.from_pretrained("ibm-research/PowerMoE-3b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ibm-research/PowerMoE-3b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ibm-research/PowerMoE-3b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ibm-research/PowerMoE-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ibm-research/PowerMoE-3b
- SGLang
How to use ibm-research/PowerMoE-3b 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 "ibm-research/PowerMoE-3b" \ --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": "ibm-research/PowerMoE-3b", "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 "ibm-research/PowerMoE-3b" \ --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": "ibm-research/PowerMoE-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ibm-research/PowerMoE-3b with Docker Model Runner:
docker model run hf.co/ibm-research/PowerMoE-3b
torch and llama.cpp integration
I just tried with latest torch/transformers and llama.cpp and inference failed.
Are there upstream branches I can use?
ValueError: The checkpoint you are trying to load has model type granitemoe 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.
@TobDeBer you need this specific PR: https://github.com/huggingface/transformers/pull/33207/
the code for the MoE model is not merged into HF transformers main branch yet
Thanks!
It has been merged last night.
awesome