DeepReinforce AI Releases Ornith-1.0: Open-Source Agentic Coding Models Up to 397B Parameters
Summary
DeepReinforce AI has released Ornith-1.0, a family of open-source models for agentic coding, available in sizes from 9B to 397B parameters. The models are post-trained on top of Gemma 4 and Qwen 3.5, achieving state-of-the-art performance on coding benchmarks like Terminal-Bench 2.1, SWE-Bench, NL2Repo, and OpenClaw. The release features a self-improving training framework using reinforcement learning that jointly optimizes solution generation and the scaffolding that drives those rollouts.
Source
Key quotes
· 3 pulledAloha! 🌺 Today, we are releasing Ornith-1.0, a self-improving family of open-source models for agentic coding.
Ornith-1.0 employs RL to learn to generate not only solution rollouts, but also the scaffold that drives those rollouts.
We're on a journey to advance and democratize artificial intelligence through open source and open science.
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