Instructions to use Cialtion/SimpleTool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cialtion/SimpleTool with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Cialtion/SimpleTool")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cialtion/SimpleTool", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Cialtion/SimpleTool with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Cialtion/SimpleTool" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Cialtion/SimpleTool", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Cialtion/SimpleTool
- SGLang
How to use Cialtion/SimpleTool 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 "Cialtion/SimpleTool" \ --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": "Cialtion/SimpleTool", "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 "Cialtion/SimpleTool" \ --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": "Cialtion/SimpleTool", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Cialtion/SimpleTool with Docker Model Runner:
docker model run hf.co/Cialtion/SimpleTool
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## 路线图
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- [ ] **世界模拟** — 大规模(1,000+ NPC)实时 AI 异步世界模拟,单智能体行动端到端延迟 < 200ms
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- [ ] **Apple 生态** — Mac 和 iPhone 端侧部署(CoreML / Metal)
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- [ ] **v3 架构** — 快思考(实时 SimpleTool)+ 慢思考(异步元认知)融合
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- [ ] **具身智能** — 虚拟 3D 数字人,大型游戏引擎集成演示
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## 路线图
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- [ ] **世界模拟** — 大规模(1,000+ NPC)实时 AI 异步世界模拟,单智能体行动端到端延迟 < 200ms
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- [ ] **推测解码与多 Token 预测** — 引入推测解码(Speculative Decoding)和多 Token 预测,进一步压缩推理延迟
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- [ ] **Windows 原生支持** — Windows 游戏引擎插件与原生运行(无需 Docker 或 WSL)
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- [ ] **Apple 生态** — Mac 和 iPhone 端侧部署(CoreML / Metal)
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- [ ] **v3 架构** — 快思考(实时 SimpleTool)+ 慢思考(异步元认知)融合
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- [ ] **具身智能** — 虚拟 3D 数字人,大型游戏引擎集成演示
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