Instructions to use facebook/opt-30b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/opt-30b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="facebook/opt-30b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("facebook/opt-30b") model = AutoModelForCausalLM.from_pretrained("facebook/opt-30b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use facebook/opt-30b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "facebook/opt-30b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "facebook/opt-30b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/facebook/opt-30b
- SGLang
How to use facebook/opt-30b 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/opt-30b" \ --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/opt-30b", "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/opt-30b" \ --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/opt-30b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use facebook/opt-30b with Docker Model Runner:
docker model run hf.co/facebook/opt-30b
Download flax_model-00007-of-00007.msgpack from facebook/opt-30b: direct link, hf CLI and curl.
- Browser
- Download file 822 MB
-
https://huggingface.co/facebook/opt-30b/resolve/main/flax_model-00007-of-00007.msgpack
- Command line
-
hf download hf://facebook/opt-30b/flax_model-00007-of-00007.msgpack
-
curl -L -o flax_model-00007-of-00007.msgpack https://huggingface.co/facebook/opt-30b/resolve/main/flax_model-00007-of-00007.msgpack
822 MB
- Xet hash:
- 5fe40292ccdcd5b9a5f98ec62a38a791e687fef6f1fadd0483771f4e752fa6b0
- Size of remote file:
- 822 MB
- SHA256:
- b7b2fc207f423e70e10c210d558a6d2db904430561dd7459e80caa0db2ea6bac
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