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README.md
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# SimpleTool: Parallel Decoding for Real-Time LLM Function Calling
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[**Hugging Face**](https://huggingface.co/Cialtion/SimpleTool) | [**ModelScope**](https://www.modelscope.cn/models/cialtion/SimpleTool) | [**GitHub**](https://github.com/HaxxorCialtion/SimpleTool)
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This repository contains the weights for **RT-Qwen** (RealtimeTool), a series of models optimized for low-latency, parallel LLM function calling.
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## 📁 Model Directory Structure
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The models are organized by scale, quantization format, and inference framework.
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### 1. SFT & AWQ Models (vLLM / Transformers)
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Directly use these folders for inference via `vLLM` or `Transformers`.
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* **RT-Qwen2.5-0.5B** / **-0.5B-AWQ**
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* **RT-Qwen2.5-1.5B** / **-1.5B-AWQ**
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* **RT-Qwen2.5-3B** / **-3B-AWQ**
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* **RT-Qwen2.5-7B** / **-7B-AWQ**
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* **RT-Qwen2.5-14B** / **-14B-AWQ**
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* **RT-Qwen3-4B** / **-4B-AWQ**
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* **RT-Qwen3-30B** / **-30B-AWQ**
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### 2. GGUF Models (llama.cpp)
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* **`gguf_models/`**: Full-precision (F16) GGUF files for all versions.
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* **`gguf_quantized/`**: Quantized GGUF versions including **Q4_K_M**, **Q5_K_M**, and **Q8_0**.
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---
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## 📝 TODO
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- [ ] Release Arxiv Paper
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- [ ] Complete GitHub Documentation
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- [ ] Add Performance Benchmarks
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- [ ] Provide Citation Info
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---
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**License**: Apache-2.0
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**Status**: Models Uploading / Placeholder README
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