This page may contain stale information. Last updated: 2026-06-27
Overview
Ornith-1.0 is an open-source coding model family from deepreinforce, released June 25, 2026 under MIT license on Hugging Face. Built on gemma-4 and qwen 3.5 foundations.
Model Sizes
- 9B Dense — edge deployment
- 31B Dense
- 35B MoE
- 397B MoE — flagship
Self-Scaffolding RL
Instead of fixed human-designed agent harnesses, Ornith learns to generate task-specific scaffolds during RL. Two-stage RL step: (1) refine scaffold; (2) generate solution. Reward propagates to both stages.
Benchmark scores (82.4 SWE-Bench Verified, 77.5 Terminal-Bench 2.1 for 397B) are vendor-reported. Independent reproduction pending. Trails Claude Opus 4.8 on several benchmarks.
Anti-Reward-Hacking
- Fixed trust boundary (immutable outer layer)
- Deterministic monitor (zero reward for reading withheld tests)
- Frozen LLM judge as veto