Instructions to use zai-org/cogvlm2-llama3-chat-19B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zai-org/cogvlm2-llama3-chat-19B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="zai-org/cogvlm2-llama3-chat-19B", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("zai-org/cogvlm2-llama3-chat-19B", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use zai-org/cogvlm2-llama3-chat-19B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zai-org/cogvlm2-llama3-chat-19B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/cogvlm2-llama3-chat-19B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/zai-org/cogvlm2-llama3-chat-19B

SGLang

How to use zai-org/cogvlm2-llama3-chat-19B 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/cogvlm2-llama3-chat-19B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/cogvlm2-llama3-chat-19B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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/cogvlm2-llama3-chat-19B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zai-org/cogvlm2-llama3-chat-19B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use zai-org/cogvlm2-llama3-chat-19B with Docker Model Runner:
```
docker model run hf.co/zai-org/cogvlm2-llama3-chat-19B
```

cannot be used on Apple MPS

by bghira - opened May 23, 2024

Discussion

bghira

May 23, 2024

unfortunately due to the reliance on OpenAI's Triton library as well as Xformers this thing is effectively unable to run on Apple hardware:

  File "/Users/bghira/.cache/huggingface/modules/transformers_modules/THUDM/cogvlm-chat-hf/e29dc3ba206d524bf8efbfc60d80fc4556ab0e3c/modeling_cogvlm.py", line 19, in <module>
    from .visual import EVA2CLIPModel
  File "/Users/bghira/.cache/huggingface/modules/transformers_modules/THUDM/cogvlm-chat-hf/e29dc3ba206d524bf8efbfc60d80fc4556ab0e3c/visual.py", line 4, in <module>
    import xformers.ops as xops

bghira

May 23, 2024

note that this applies to v1.1 and v2.0 of CogVLM.

ZHANGYUXUAN-zR

Z.ai org May 24, 2024

need use Linux with Nvidia GPU

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