Subscribe
Share
Share
Embed
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 1.0
00:34 Setup With Ollama
00:45 What Ornif Is
01:04 Real Build Examples
01:51 Benchmark Reality Check
02:11 Self Improving Framework
03:02 Reinforcement Learning Loop
03:52 Self Scaffolding Explained
05:31 Local Leaderboards Demos
06:21 Agent OS Integrations
07:32 Model Comparisons Use Cases
08:05 Join The Community
09:05 Final Thanks
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 1.0
00:34 Setup With Ollama
00:45 What Ornif Is
01:04 Real Build Examples
01:51 Benchmark Reality Check
02:11 Self Improving Framework
03:02 Reinforcement Learning Loop
03:52 Self Scaffolding Explained
05:31 Local Leaderboards Demos
06:21 Agent OS Integrations
07:32 Model Comparisons Use Cases
08:05 Join The Community
09:05 Final Thanks
Creators and Guests
What is AI News Today | Julian Goldie Podcast?
Latest Podcast