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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- 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
Adding `safetensors` variant of this model
#16 opened almost 2 years ago
by
SFconvertbot
Run Galactica on Google Colab Pro
#15 opened about 3 years ago
by
Ficht
ValueError: model.decoder.embed_tokens.weight doesn't have any device set.
#14 opened about 3 years ago
by
sxx123
Update README.md
#13 opened about 3 years ago
by
mmendoza
Poor mathematical calculation ability, even unable to calculate 1+1=2.
#12 opened over 3 years ago
by
Macropodus
Add language tag
#11 opened over 3 years ago
by
lbourdois
Preprocessed data for moleculenet / uniprot?
#9 opened over 3 years ago
by
csinva
CUDA out of memory error when using
👍 1
3
#7 opened over 3 years ago
by
hwasiti
No support for float16 on CPU?
3
#6 opened over 3 years ago
by
hwasiti
Exception has occurred: RuntimeError CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)`
1
#5 opened over 3 years ago
by
bernlxrnd
Is the tokenizer missing settings?
1
#4 opened over 3 years ago
by
cmcmaster
30b model
2
#3 opened almost 4 years ago
by
breawerawer