This is the Windows app named Ornith-1.0 whose latest release can be downloaded as Ornith-1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Ornith-1.0
DESCRIPTION
Ornith-1 is an open-source family of agentic coding models from DeepReinforce AI. It is designed for coding agents that need to solve software engineering tasks through iterative tool use and solution rollouts. The project presents 9B dense, 31B dense, 35B mixture-of-experts, and 397B mixture-of-experts variants. These models are post-trained on top of Gemma 4 and Qwen 3.5 foundations. Its training approach uses reinforcement learning to optimize both the solution and the scaffold that guides the solution process. The repository emphasizes benchmark performance on Terminal-Bench, SWE-bench, NL2Repo, OpenClaw, and SWE Atlas while keeping the project MIT licensed and globally accessible.
Features
- Agentic coding model family
- 9B, 31B, 35B, and 397B variants
- Dense and mixture-of-experts architectures
- Reinforcement learning scaffold optimization
- Terminal-Bench and SWE-bench focus
- MIT-licensed open-source release
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ornith-10.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
