Instructions to use opencsg/Agentic-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use opencsg/Agentic-27B with Transformers:

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

pipe = pipeline("image-text-to-text", model="opencsg/Agentic-27B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("opencsg/Agentic-27B")
model = AutoModelForMultimodalLM.from_pretrained("opencsg/Agentic-27B", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use opencsg/Agentic-27B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "opencsg/Agentic-27B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "opencsg/Agentic-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/opencsg/Agentic-27B

SGLang

How to use opencsg/Agentic-27B 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 "opencsg/Agentic-27B" \
    --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": "opencsg/Agentic-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "opencsg/Agentic-27B" \
        --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": "opencsg/Agentic-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use opencsg/Agentic-27B with Docker Model Runner:
```
docker model run hf.co/opencsg/Agentic-27B
```

ZionWong commited on Sep 12

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Update README.md

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@@ -34,7 +34,7 @@ tags:
 <p align="center">
   <a href="https://huggingface.co/opencsg/models">OpenCSG 模型仓库</a> ·
-  <a href="./OpenCSG模型与数据集许可协议.md)">使用协议 / License Agreement</a>
 </p>
 ---
@@ -282,7 +282,7 @@ Agentic 后续版本会继续沿用平台数据飞轮：把真实 bad case 转
 ## 使用协议
-使用本模型需要遵循 [OpenCSG 模型与数据集许可协议](./OpenCSG模型与数据集许可协议.md)。仓库 metadata 中的 `license: other` 表示本模型采用平台预设列表之外的许可协议，实际许可条款以该协议为准。
 本模型可按 OpenCSG 模型与数据集许可协议申请商业用途。若计划将本模型，或基于本模型训练、增强的模型、系统、Agent、API 服务和商业产品用于商业场景，请发送邮件至 `lorraineg@opencsg.com` 获取许可。
@@ -531,7 +531,7 @@ Upcoming priorities include improving completion rates on complex cross-system w
 ## License
-Use of this model is governed by the [OpenCSG Model and Dataset License Agreement](./OpenCSG模型与数据集许可协议.md). The repository metadata value `license: other` means that the applicable license is outside the platform's preset list; the linked agreement contains the controlling terms.
 Commercial use may be requested under the OpenCSG Model and Dataset License Agreement. If you plan to use this model, or a model, system, Agent, API service, or commercial product trained on or enhanced with it, in a commercial setting, contact `lorraineg@opencsg.com` for authorization.

 <p align="center">
   <a href="https://huggingface.co/opencsg/models">OpenCSG 模型仓库</a> ·
+  <a href="[./OpenCSG模型与数据集许可协议.md](https://huggingface.co/opencsg/Agentic-27B/blob/main/OpenCSG%E6%A8%A1%E5%9E%8B%E4%B8%8E%E6%95%B0%E6%8D%AE%E9%9B%86%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.md))">使用协议 / License Agreement</a>
 </p>
 ---
 ## 使用协议
+使用本模型需要遵循 [OpenCSG 模型与数据集许可协议]([./OpenCSG模型与数据集许可协议.md](https://huggingface.co/opencsg/Agentic-27B/blob/main/OpenCSG%E6%A8%A1%E5%9E%8B%E4%B8%8E%E6%95%B0%E6%8D%AE%E9%9B%86%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.md))。仓库 metadata 中的 `license: other` 表示本模型采用平台预设列表之外的许可协议，实际许可条款以该协议为准。
 本模型可按 OpenCSG 模型与数据集许可协议申请商业用途。若计划将本模型，或基于本模型训练、增强的模型、系统、Agent、API 服务和商业产品用于商业场景，请发送邮件至 `lorraineg@opencsg.com` 获取许可。
 ## License
+Use of this model is governed by the [OpenCSG Model and Dataset License Agreement]([./OpenCSG模型与数据集许可协议.md](https://huggingface.co/opencsg/Agentic-27B/blob/main/OpenCSG%E6%A8%A1%E5%9E%8B%E4%B8%8E%E6%95%B0%E6%8D%AE%E9%9B%86%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.md)). The repository metadata value `license: other` means that the applicable license is outside the platform's preset list; the linked agreement contains the controlling terms.
 Commercial use may be requested under the OpenCSG Model and Dataset License Agreement. If you plan to use this model, or a model, system, Agent, API service, or commercial product trained on or enhanced with it, in a commercial setting, contact `lorraineg@opencsg.com` for authorization.