Instructions to use facebook/opt-2.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/opt-2.7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="facebook/opt-2.7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("facebook/opt-2.7b") model = AutoModelForCausalLM.from_pretrained("facebook/opt-2.7b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use facebook/opt-2.7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "facebook/opt-2.7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "facebook/opt-2.7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/facebook/opt-2.7b
- SGLang
How to use facebook/opt-2.7b 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/opt-2.7b" \ --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/opt-2.7b", "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/opt-2.7b" \ --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/opt-2.7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use facebook/opt-2.7b with Docker Model Runner:
docker model run hf.co/facebook/opt-2.7b
Commit ·
29415cf
1
Parent(s): 8ef56f6
upload 2.7b
Browse files- config.json +26 -0
- pytorch_model.bin +3 -0
config.json
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{
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"OPTModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"d_model": 2560,
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"do_layer_norm_before": true,
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"dropout": 0.1,
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"eos_token_id": 2,
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"ffn_dim": 10240,
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"init_std": 0.02,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "opt",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"pad_token_id": 1,
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"torch_dtype": "float16",
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"transformers_version": "4.19.0.dev0",
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"use_cache": true,
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"vocab_size": 50272,
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"word_embed_proj_dim": 2560
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0c54b715b1197b2de8112c252709426369dbc94989a5d1c57ce13806ea1e6c0
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size 5303345453
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