Ornith-1.0 open-source model family released, focused on agentic coding from 9B to 397B

Ornith-1.0 开源模型家族发布，专注 Agentic Coding 全参数规模

Ornith-1.0 is a family of open-source models built for agentic coding, spanning 9B Dense, 31B Dense, 35B MoE, and 397B MoE, all under MIT license. It hits open-source SOTA on SWE-Bench Verified (82.4) and Terminal-Bench 2.1 (77.5). The training approach jointly optimizes the task scaffold and the final solution via RL, letting the model improve its own execution framework. Built on post-trained gemma4 and qwen3.5, with GGUF versions ready for Ollama and Unsloth. The post doesn't disclose training cost, inference latency, or hardware requirements.

Why it matters: Open-source coding agent base model with top open-source scores on both SWE-Bench and Terminal-Bench, four sizes all MIT-licensed, directly addressing the base-model gap for agent developers. Not pushing past 85 yet because there's no third-party reproduction or real-world dep...