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cuijian0819
/
gpt-oss-20b-function-calling

Text Generation
Transformers
Safetensors
PyTorch
gpt-oss
multilingual
conversational
Model card Files Files and versions
xet
Community

Instructions to use cuijian0819/gpt-oss-20b-function-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cuijian0819/gpt-oss-20b-function-calling with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="cuijian0819/gpt-oss-20b-function-calling")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("cuijian0819/gpt-oss-20b-function-calling", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use cuijian0819/gpt-oss-20b-function-calling with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "cuijian0819/gpt-oss-20b-function-calling"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "cuijian0819/gpt-oss-20b-function-calling",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/cuijian0819/gpt-oss-20b-function-calling
  • SGLang

    How to use cuijian0819/gpt-oss-20b-function-calling 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 "cuijian0819/gpt-oss-20b-function-calling" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "cuijian0819/gpt-oss-20b-function-calling",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    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 "cuijian0819/gpt-oss-20b-function-calling" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "cuijian0819/gpt-oss-20b-function-calling",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Docker Model Runner

    How to use cuijian0819/gpt-oss-20b-function-calling with Docker Model Runner:

    docker model run hf.co/cuijian0819/gpt-oss-20b-function-calling
gpt-oss-20b-function-calling
923 MB
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  • 1 contributor
History: 11 commits
cuijian0819's picture
cuijian0819
Add comprehensive README
29906cf verified about 1 year ago
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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • chat_template.jinja
    16.7 kB
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  • special_tokens_map.json
    440 Bytes
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  • tokenizer.json
    27.9 MB
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  • tokenizer_config.json
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  • training_args.bin

    Detected Pickle imports (10)

    • "trl.trainer.sft_config.SFTConfig",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "transformers.training_args.OptimizerNames",
    • "torch.device",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.trainer_utils.HubStrategy",
    • "accelerate.state.PartialState",
    • "transformers.trainer_utils.SaveStrategy"

    How to fix it?

    6.23 kB
    xet
    Add PyTorch model files about 1 year ago