Ornith 1.5
Ornith 1.5 is an open-source family of AI models (9B, 35B MoE, and 397B MoE) built for agentic coding, reasoning, and tool use. It extends the self-scaffolding approach from Ornith 1.0 into a full self-improvement loop: the model proposes its own tasks, writes task-specific scaffolds, and generates reinforcement learning rollouts that feed back into training, continually sharpening its own coding and agentic performance.
- Type
- Text
- Weights
- Open
- Downloads
- 465k
- Likes
- 341
- Pipeline
- text generation
- License
- mit
Model hub
ornith-ai/Ornith-1.5-9B
- Repo
- ornith-ai/Ornith-1.5-9B
- Library
- transformers
- Access
- Public
Technical tags and languages
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About DeepReinforce
1
DeepReinforce is an AI research startup founded by Dr. Jiwei Li, focused on using reinforcement learning to build agentic AI systems for coding and system optimization. They developed GrandCode (ranked #1 in Codeforces live competitions, beating all human grandmasters), Ornith-1.0 (open-source LLMs for agentic coding, 9B–397B parameters), and IterX (agentic code optimizer surpassing NVIDIA's cuBLAS).