Ornith 1.0 397B
Ornith-1.0-397B is a 397B MoE open-source reasoning model for agentic coding, post-trained on Qwen 3.5 MoE via a self-improving RL framework that jointly learns task solutions and the scaffolds guiding them. Achieves 82.4 on SWE-Bench Verified and 77.5 on Terminal-Bench 2.1. MIT licensed with tool-calling and 256K context support.
- Type
- Text
- Weights
- Open
- Downloads
- 195k
- Likes
- 261
- Pipeline
- text generation
- License
- mit
Model hub
ornith-ai/Ornith-1.0-397B
- Repo
- ornith-ai/Ornith-1.0-397B
- 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).