Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. Ornith 1.0 9B Aloha! 🌺 Today, we are releasing Ornith 1.0, a self improving family of open source models for agentic coding. Highlights: State of the Art Coding Agents : Available in 9B Dense, 31B Dense, 35B MoE, and 397B MoE (post trained on top of Gemma 4 and Qwen 3.5), achieving state of the art performance among open source models of comparable size on coding benchmarks such as Terminal Bench 2.1, SWE Bench, NL2Repo and OpenClaw. Self Improving Training Framework : Ornith 1.0 employs RL to learn to generate not only solution rollouts, but also the scallfold that drive those rollouts. By jointly optimizing the scaffold and the resulting solution, the model discovers better search trajectories and generates higher quality solutions. Licence : MIT licensed, globally accessible, and free from regional limitations. Ornith 1.0 9B This model card documents Ornith 1.0 9B , the most lightweight member of the Ornith family, designed for efficient single GPU deployment. Benchmarks Ornith 1.0 9B Qwen3.5 9B Qwen3.5 35B Gemma4 12B Gemma4 31B Agentic Coding Terminal Bench 2.1 (Terminus 2) 43.1 21.3 41.4 21 42.…
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