初始化项目，由ModelHub XC社区提供模型

Model: Dark-Davies/fusionai
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-1.7B-Instruct
+tags:
+- agentic
+- reasoning
+- tool-use
+- safetensors
+- unsloth
+- cpu-optimized
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# 🤖 Agentic AI Suite (Qwen3-1.7B-Reasoning)
+
+This model is a **Small Reasoning Model (SRM)** fine-tuned specifically for the "Goldilocks Zone" of AI deployment: **Powerful enough** to handle PhD-level research tasks and **fast enough** to run on a standard Hugging Face Free Tier CPU.
+
+By utilizing the **Qwen3-1.7B** architecture, this model achieves high-logic reasoning while maintaining a tiny memory footprint (~1.1GB in 4-bit).
+
+## 🌟 Features
+- **Native Tool Calling**: Trained to output structured `Action` calls for `web_search` and `calculator`.
+- **ReAct Framework**: Uses a "Thought -> Action -> Observation -> Final Answer" loop.
+- **Safetensors Format**: Merged 4-bit weights for instant loading and high-speed CPU inference via `transformers`.
+- **Zero-Latency Logic**: Optimized to respond in under 10 seconds on a 2-vCPU environment.
+
+---
+
+## 🛠️ How to Use (Agentic Implementation)
+
+To use this model as a true agent, your code should intercept the `Action:` text and execute the corresponding Python function.
+
+### 1. Requirements
+```bash
+pip install transformers torch accelerate bitsandbytes