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zai-org
/
cogvlm-chat-hf

Text Generation
Transformers
Safetensors
English
custom_code
Model card Files Files and versions
xet
Community
23

Instructions to use zai-org/cogvlm-chat-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zai-org/cogvlm-chat-hf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="zai-org/cogvlm-chat-hf", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("zai-org/cogvlm-chat-hf", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use zai-org/cogvlm-chat-hf with vLLM:

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

    How to use zai-org/cogvlm-chat-hf 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 "zai-org/cogvlm-chat-hf" \
        --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": "zai-org/cogvlm-chat-hf",
    		"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 "zai-org/cogvlm-chat-hf" \
            --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": "zai-org/cogvlm-chat-hf",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use zai-org/cogvlm-chat-hf with Docker Model Runner:

    docker model run hf.co/zai-org/cogvlm-chat-hf
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Increasing throughput with batches and quantization

pinned
7
#11 opened over 2 years ago by
miguelcarv

new dependencies

#23 opened over 1 year ago by
hincalt

Torchvision error

πŸ‘€βž• 2
1
#22 opened over 1 year ago by
Saidur49

Breaks with quantization in newer transformers revisions (fix included)

πŸ‘ 2
1
#21 opened about 2 years ago by
panopstor

Update modeling_cogvlm.py

#19 opened about 2 years ago by
nielsr

How to Encode Inputs for Supervised Fine-tuning of CogVLM

πŸ‘ 1
1
#17 opened over 2 years ago by
ayensujeremiah

noob: Can we use RAG to improve cogagent/cogvlm performance

3
#16 opened over 2 years ago by
anothercoder2

Stunningly good

#13 opened over 2 years ago by
cmp-nct

Guidance on How to Train / Finetune Model

πŸ‘ 1
13
#6 opened over 2 years ago by
mnbucher
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