| # Brad AI 1.12.2x | |
| Brad AI 1.12.2x is a lightweight, instruction-focused conversational AI developed by **Alpha Technologies**. | |
| It is designed to be **powerful but simple**, prioritizing clarity, reasoning, and problem-solving while remaining usable on low-resource systems. | |
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| ## Key Features | |
| - Instruction-tuned behavior | |
| - Optional reasoning mode (step-by-step thinking) | |
| - Lightweight architecture | |
| - CPU-safe inference | |
| - Clean, transparent design | |
| - No bundled model weights | |
| --- | |
| ## Architecture Overview | |
| Brad AI 1.12.2x is built as a **model wrapper with optional fine-tuning support**. | |
| - **Base model:** Qwen/Qwen2.5-0.5B-Instruct | |
| - **Behavior control:** System prompt + chat templates | |
| - **Learning method:** Optional LoRA fine-tuning (parameter-efficient) | |
| - **Deployment style:** Repository-based (no Spaces required) | |
| This approach mirrors how many modern open-source “GPT-OSS–style” models are structured. | |
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| ## Reasoning Mode | |
| Brad AI supports an optional **reasoning mode** that encourages structured, step-by-step problem solving. | |
| - OFF by default for speed and brevity | |
| - ON when deeper reasoning is required | |
| This is controlled at runtime and does not require retraining. | |
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| ## Intended Use | |
| - Educational projects | |
| - Prototyping AI systems | |
| - Learning about modern LLM architectures | |
| - Low-resource environments | |
| - Open-source experimentation | |
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| ## Usage | |
| ```bash | |
| python inference.py | |