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bigcode
/
starcoder2-3b

Text Generation
Transformers
Safetensors
starcoder2
code
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Community
12

Instructions to use bigcode/starcoder2-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bigcode/starcoder2-3b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="bigcode/starcoder2-3b")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("bigcode/starcoder2-3b")
    model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use bigcode/starcoder2-3b with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "bigcode/starcoder2-3b"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "bigcode/starcoder2-3b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/bigcode/starcoder2-3b
  • SGLang

    How to use bigcode/starcoder2-3b 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 "bigcode/starcoder2-3b" \
        --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": "bigcode/starcoder2-3b",
    		"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 "bigcode/starcoder2-3b" \
            --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": "bigcode/starcoder2-3b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use bigcode/starcoder2-3b with Docker Model Runner:

    docker model run hf.co/bigcode/starcoder2-3b
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Create jdekdkkdk

#12 opened 11 months ago by
mshary55

Interview request: genAI evaluation & documentation

#11 opened over 1 year ago by
meggymuggy

Adding Evaluation Results

#10 opened almost 2 years ago by
leaderboard-pr-bot

[AUTOMATED] Model Memory Requirements

#9 opened almost 2 years ago by
model-sizer-bot

What special token did you folks us for padding at the end? <fim_pad> seems to be used for fill in the middle.

1
#8 opened about 2 years ago by
compressllama

Adding Evaluation Results

#7 opened about 2 years ago by
leaderboard-pr-bot

Request on prompts for the evaluation results.

👍➕ 1
#5 opened about 2 years ago by
sh0416

Update config.json

#4 opened about 2 years ago by
muhtasham
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