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zai-org
/
glm-4-9b

Text Generation
Transformers
Safetensors
Chinese
English
chatglm
glm
thudm
custom_code
Model card Files Files and versions
xet
Community
20

Instructions to use zai-org/glm-4-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zai-org/glm-4-9b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="zai-org/glm-4-9b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("zai-org/glm-4-9b", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use zai-org/glm-4-9b with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "zai-org/glm-4-9b"
    # 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/glm-4-9b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/zai-org/glm-4-9b
  • SGLang

    How to use zai-org/glm-4-9b 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/glm-4-9b" \
        --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/glm-4-9b",
    		"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/glm-4-9b" \
            --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/glm-4-9b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use zai-org/glm-4-9b with Docker Model Runner:

    docker model run hf.co/zai-org/glm-4-9b
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

how do i delete my account?

#20 opened 7 months ago by
Liliana1

AttributeError: 'ChatGLMForConditionalGeneration' object has no attribute '_extract_past_from_model_output'

#19 opened about 1 year ago by
hotyouth

Fix TypeError in _pad method by adding missing padding_side field

#18 opened about 1 year ago by
TrueName

TypeError: ChatGLM4Tokenizer._pad() got an unexpected keyword argument 'padding_side'

2
#16 opened over 1 year ago by
TracyMc

Converting to native Transformers

2
#15 opened over 1 year ago by
cyrilvallez

Adding the Open Portuguese LLM Leaderboard Evaluation Results

#12 opened over 1 year ago by
leaderboard-pt-pr-bot

del gradient_checkpointing_enable()

#11 opened almost 2 years ago by
chandler88

UnicodeDecodeError: 'utf-8' codec can't decode bytes in position 0-1: unexpected end of data

4
#10 opened almost 2 years ago by
ixioxoixi

AttributeError: module 'transformers_modules.GLM-4-9B.tokenization_chatglm' has no attribute 'ChatGLM4Tokenizer'

3
#8 opened almost 2 years ago by
wangrenzhong

How to use glm-4-9b to do classification?

1
#5 opened almost 2 years ago by
JustTryTry

FIX autogptq compat

#4 opened almost 2 years ago by
Qubitium

Full list of languages?

🔥 1
1
#2 opened almost 2 years ago by
RASMUS

使用 lm_eval 测试时报错了

2
#1 opened almost 2 years ago by
xianf
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