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internlm
/
internlm-xcomposer2-7b-4bit

Text Generation
Transformers
internlm
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use internlm/internlm-xcomposer2-7b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use internlm/internlm-xcomposer2-7b-4bit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="internlm/internlm-xcomposer2-7b-4bit", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("internlm/internlm-xcomposer2-7b-4bit", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use internlm/internlm-xcomposer2-7b-4bit with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "internlm/internlm-xcomposer2-7b-4bit"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "internlm/internlm-xcomposer2-7b-4bit",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/internlm/internlm-xcomposer2-7b-4bit
  • SGLang

    How to use internlm/internlm-xcomposer2-7b-4bit 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 "internlm/internlm-xcomposer2-7b-4bit" \
        --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": "internlm/internlm-xcomposer2-7b-4bit",
    		"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 "internlm/internlm-xcomposer2-7b-4bit" \
            --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": "internlm/internlm-xcomposer2-7b-4bit",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use internlm/internlm-xcomposer2-7b-4bit with Docker Model Runner:

    docker model run hf.co/internlm/internlm-xcomposer2-7b-4bit
internlm-xcomposer2-7b-4bit
7.01 GB
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  • 3 contributors
History: 3 commits
LinJulia's picture
LinJulia
Update README.md (#2)
f4c15a3 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    4.52 kB
    Update README.md (#2) about 2 years ago
  • bamboo.jpeg
    16 kB
    update over 2 years ago
  • build_mlp.py
    7.32 kB
    update over 2 years ago
  • config.json
    1.1 kB
    update over 2 years ago
  • configuration_internlm_xcomposer2.py
    7.55 kB
    update over 2 years ago
  • generation_config.json
    175 Bytes
    update over 2 years ago
  • gptq_model-4bit-128g.safetensors
    7.01 GB
    xet
    update over 2 years ago
  • logo.png
    104 kB
    update over 2 years ago
  • logo_en.png
    46.2 kB
    update over 2 years ago
  • modeling_internlm2.py
    39.5 kB
    update over 2 years ago
  • modeling_internlm_xcomposer2.py
    24.8 kB
    update over 2 years ago
  • panda.jpg
    244 kB
    update over 2 years ago
  • quantize_config.json
    211 Bytes
    update over 2 years ago
  • special_tokens_map.json
    95 Bytes
    update over 2 years ago
  • tokenization_internlm_xcomposer2.py
    9.18 kB
    update over 2 years ago
  • tokenizer.model
    1.48 MB
    xet
    update over 2 years ago
  • tokenizer_config.json
    401 Bytes
    update over 2 years ago