Show HN: Apex-1-flash, 4B LLM finetuned on RTX 5070

Apex-1-flash, a new 4 billion parameter AI model fine-tuned by 13-year-old Matias Mikle in collaboration with OrbitAI, has been released to enhance logical reasoning and structured thinking capabilities. This model builds on the Qwen/qwen3-4b-thinking-2507 architecture and utilizes the Open-CoT-Reasoning-Mini dataset for supervised fine-tuning, enabling it to tackle multi-step problem solving effectively on consumer-grade hardware. With its efficient design, Apex-1-flash can run on a single RTX 3060 GPU, making advanced AI accessible without the need for expensive infrastructure.

The significance of this release lies not only in its technical specifications but also in its inspirational origin; it showcases the potential for young developers to contribute meaningfully to the AI/ML community. By emphasizing fast, sharp, and thoughtful reasoning, the model is positioned as a valuable tool for educational purposes and logical reasoning challenges. However, it should be noted that Apex-1-flash hasn’t undergone safety alignment treatments, and users are advised to consider implementing additional safety measures if used in production environments. This highlights both the exciting potential and responsibilities involved in AI development.