Instructions to use calmresearch-ai/Model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calmresearch-ai/Model3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="calmresearch-ai/Model3")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("calmresearch-ai/Model3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use calmresearch-ai/Model3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "calmresearch-ai/Model3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "calmresearch-ai/Model3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/calmresearch-ai/Model3
- SGLang
How to use calmresearch-ai/Model3 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 "calmresearch-ai/Model3" \ --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": "calmresearch-ai/Model3", "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 "calmresearch-ai/Model3" \ --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": "calmresearch-ai/Model3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use calmresearch-ai/Model3 with Docker Model Runner:
docker model run hf.co/calmresearch-ai/Model3
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{
"role": "system",
"content": "该助手为DeepSeek,由深度求索公司创造。"
},
{
"role": "latest_reminder",
"content": "2026-02-21,星期六,广州,App,中文"
},
{
"role": "system",
"content": "CITATION FORMAT: 【{cursor_id}†L{start_line_id}(-L{end_line_id})?】",
"tools": [
{
"type": "function",
"function": {
"name": "search",
"description": "Web search. Split multiple queries with '||'.",
"parameters": {
"type": "object",
"properties": {
"queries": {
"type": "string",
"description": "query1||query2"
}
},
"required": ["queries"],
"additionalProperties": false
}
}
},
{
"type": "function",
"function": {
"name": "open",
"description": "Batch open IDs (format 【{id}†...】) or URLs.",
"parameters": {
"type": "object",
"properties": {
"open_list": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"description": "ID or URL",
"anyOf": [{"type": "integer"}, {"type": "string"}],
"default": -1
},
"loc": {"type": "integer", "description": "Start line", "default": -1},
"num_lines": {"type": "integer", "description": "", "default": -1}
},
"additionalProperties": false
},
"description": ""
}
},
"required": ["open_list"],
"additionalProperties": false
}
}
}
]
},
{
"role": "user",
"content": "小柴胡冲剂和布洛芬能一起吃吗?"
},
{
"role": "assistant",
"content": "",
"reasoning_content": "用户想知道小柴胡冲剂和布洛芬能否一起服用。",
"tool_calls": [
{
"type": "function",
"function": {
"name": "search",
"arguments": "{\"queries\": \"小柴胡冲剂 布洛芬 相互作用 一起吃\"}"
}
}
]
},
{
"role": "tool",
"content": "[0]"
},
{
"role": "assistant",
"content": "请及时就医。",
"reasoning_content": "现在开始组织回答。",
"tool_calls": []
}
]
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