Instructions to use facebook/galactica-6.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/galactica-6.7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="facebook/galactica-6.7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("facebook/galactica-6.7b") model = AutoModelForCausalLM.from_pretrained("facebook/galactica-6.7b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use facebook/galactica-6.7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "facebook/galactica-6.7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "facebook/galactica-6.7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/facebook/galactica-6.7b
- SGLang
How to use facebook/galactica-6.7b 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 "facebook/galactica-6.7b" \ --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": "facebook/galactica-6.7b", "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 "facebook/galactica-6.7b" \ --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": "facebook/galactica-6.7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use facebook/galactica-6.7b with Docker Model Runner:
docker model run hf.co/facebook/galactica-6.7b
30b model
Hi, I have been able to get the 125m and 6.7b model versions to run with nothing more than the sample code in the read me. However, the 30b model gives errors such as:
KeyError: 'decoder.layers.13.self_attn_layer_norm.weight'
KeyError: 'decoder.layers.31.self_attn.q_proj.bias
KeyError: 'decoder.layers.27.fc1.bias'
Is this somthing silly I am doing wrong or is this a bug?
Thanks so much!
Facing the same problem right now.
Same. Let's continue the discussion here:
https://huggingface.co/facebook/galactica-30b/discussions/4#637c8606d55081513c5679ef
The more hashsums of the blobs we have the better :)