Ornith 1.0 35B
Ornith-1.0-35B is a 35B Mixture-of-Experts reasoning model for agentic coding, post-trained on Qwen 3.5 using a self-improving RL framework that jointly learns solution rollouts and the task-specific scaffolds guiding them. Supports native function calling and 262K context. Scores 75.6 on SWE-Bench Verified and 64.2 on Terminal-Bench 2.1. MIT licensed.
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- Text
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- text generation
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- mit
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ornith-ai/Ornith-1.0-35B
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- ornith-ai/Ornith-1.0-35B
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- transformers
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About DeepReinforce
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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).