Mohammad Afouneh @moheid2003

is a domain-specific large language model designed to act as an expert consultant for startups . Developed for the AMD Developer Hackathon, the project solves the problem of generic, "wiki-style" advice generated by standard AI models by delivering immediate, high-impact guidance . The model was built by distilling core principles from renowned Silicon Valley business literature (such as The Lean Startup, Zero to One, and Blitzscaling) into a meticulously engineered dataset of 1,564 ChatML instruction-following pairs . To ensure tactical execution, the model adheres to a strict 4-pillar response architecture: Direct Actionable Advice, Why This Matters, Real-World Examples (grounded in 2025 context), and 'Avoid' variables . Built on the Qwen2.5-7B-Instruct base model, the fine-tuning process was hyper-efficient. By leveraging Unsloth optimization and QLoRA 4-bit quantization, the 7-billion parameter model was trained in under 30 minutes using only 5.5 GB of VRAM . Crucially, the model architecture and LoRA adapters are 100% compatible with AMD's ROCm ecosystem (including AMD Instinct™ GPUs and Ryzen™ AI-powered PCs) for high-performance production inference . The project is accessible via a premium, fully interactive Gradio chat interface deployed on Hugging Face Spaces

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.