Ornif 1.0: Free Self-Learning Local Coding Model (Runs on Ollama + Works with Hermes Agents)The video tests Ornif 1.0, a new free self-learning local open coding model from Deep Reinforce, showing benchmark comparisons where it outperforms models like Gemma 4 31B and even compares well against larger flagship options. The model can be downloaded via Ollama with a simple command and is integrated into the creator’s agent operating system, including Hermes profiles for agentic workflows. Ornif’s key idea is “self-scaffolding”: it writes its own plans/instructions, generates multiple solution rollouts, gets graded, and improves both planning and coding through reinforcement learning. The creator highlights a gallery of apps, games, tools, and visual outputs made with Ornif, plus local and frontier leaderboards, and demonstrates local offline systems like a Hermes engine, agent Kanban orchestration, and local chat, emphasizing local AI benefits like being free, private, fast, and improving.00:00 Meet Ornif 1.000:34 Setup With Ollama00:45 What Ornif Is01:04 Real Build Examples01:51 Benchmark Reality Check02:11 Self Improving Framework03:02 Reinforcement Learning Loop03:52 Self Scaffolding Explained05:31 Local Leaderboards Demos06:21 Agent OS Integrations07:32 Model Comparisons Use Cases08:05 Join The Community09:05 Final Thanks