fusionai

🤖 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.

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🛠️ 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

pip install transformers torch accelerate bitsandbytes