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Qwen
/
CodeQwen1.5-7B

Text Generation
Transformers
Safetensors
English
qwen2
pretrained
text-generation-inference
Model card Files Files and versions
xet
Community
10

Instructions to use Qwen/CodeQwen1.5-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Qwen/CodeQwen1.5-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Qwen/CodeQwen1.5-7B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Qwen/CodeQwen1.5-7B")
    model = AutoModelForCausalLM.from_pretrained("Qwen/CodeQwen1.5-7B")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use Qwen/CodeQwen1.5-7B with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Qwen/CodeQwen1.5-7B"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Qwen/CodeQwen1.5-7B",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Qwen/CodeQwen1.5-7B
  • SGLang

    How to use Qwen/CodeQwen1.5-7B 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 "Qwen/CodeQwen1.5-7B" \
        --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": "Qwen/CodeQwen1.5-7B",
    		"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 "Qwen/CodeQwen1.5-7B" \
            --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": "Qwen/CodeQwen1.5-7B",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Qwen/CodeQwen1.5-7B with Docker Model Runner:

    docker model run hf.co/Qwen/CodeQwen1.5-7B
CodeQwen1.5-7B
14.5 GB
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  • 3 contributors
History: 11 commits
huybery's picture
huybery
ganler's picture
ganler
Hotfix JSON syntax (#6)
5ce5a15 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • LICENSE
    6.9 kB
    Create LICENSE about 2 years ago
  • README.md
    2.44 kB
    Update README.md about 2 years ago
  • config.json
    702 Bytes
    Upload folder using huggingface_hub about 2 years ago
  • generation_config.json
    213 Bytes
    Upload folder using huggingface_hub about 2 years ago
  • model-00001-of-00004.safetensors
    3.89 GB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • model-00002-of-00004.safetensors
    3.95 GB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • model-00003-of-00004.safetensors
    3.95 GB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • model-00004-of-00004.safetensors
    2.71 GB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • model.safetensors.index.json
    31.7 kB
    Upload folder using huggingface_hub about 2 years ago
  • tokenizer.json
    4.46 MB
    Upload folder using huggingface_hub about 2 years ago
  • tokenizer.model
    1.42 MB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • tokenizer_config.json
    619 Bytes
    Hotfix JSON syntax (#6) about 2 years ago