Instructions to use zai-org/cogagent-9b-20241220 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zai-org/cogagent-9b-20241220 with Transformers:

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

pipe = pipeline("image-text-to-text", model="zai-org/cogagent-9b-20241220", trust_remote_code=True)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("zai-org/cogagent-9b-20241220", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use zai-org/cogagent-9b-20241220 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zai-org/cogagent-9b-20241220"
# 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/cogagent-9b-20241220",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/zai-org/cogagent-9b-20241220

SGLang

How to use zai-org/cogagent-9b-20241220 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/cogagent-9b-20241220" \
    --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/cogagent-9b-20241220",
		"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/cogagent-9b-20241220" \
        --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/cogagent-9b-20241220",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use zai-org/cogagent-9b-20241220 with Docker Model Runner:
```
docker model run hf.co/zai-org/cogagent-9b-20241220
```

cogagent-9b-20241220 / tokenizer_config.json

Ubuntu

test

892e231 over 1 year ago

raw

history blame contribute delete

3.22 kB

	{
	"auto_map": {
	"AutoTokenizer": [
	"tokenization_chatglm.ChatGLM4Tokenizer",
	null
	]
	},
	"added_tokens_decoder": {
	"151329": {
	"content": "<\|endoftext\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151330": {
	"content": "[MASK]",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151331": {
	"content": "[gMASK]",
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	"rstrip": false,
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	"special": true
	},
	"151332": {
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	"lstrip": false,
	"normalized": false,
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	"151333": {
	"content": "<sop>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151334": {
	"content": "<eop>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151335": {
	"content": "<\|system\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151336": {
	"content": "<\|user\|>",
	"lstrip": false,
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	"single_word": false,
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	},
	"151337": {
	"content": "<\|assistant\|>",
	"lstrip": false,
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	"single_word": false,
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	},
	"151338": {
	"content": "<\|observation\|>",
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	},
	"151339": {
	"content": "<\|begin_of_image\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151340": {
	"content": "<\|end_of_image\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151341": {
	"content": "<\|begin_of_video\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"151342": {
	"content": "<\|end_of_video\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	}
	},
	"additional_special_tokens": ["<\|endoftext\|>", "[MASK]", "[gMASK]", "[sMASK]", "<sop>", "<eop>", "<\|system\|>",
	"<\|user\|>", "<\|assistant\|>", "<\|observation\|>", "<\|begin_of_image\|>", "<\|end_of_image\|>",
	"<\|begin_of_video\|>", "<\|end_of_video\|>"],
	"clean_up_tokenization_spaces": false,
	"do_lower_case": false,
	"eos_token": "<\|endoftext\|>",
	"pad_token": "<\|endoftext\|>",
	"model_max_length": 8192,
	"padding_side": "left",
	"remove_space": false,
	"tokenizer_class": "ChatGLM4Tokenizer",
	"image_size": 1120
	}