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Ornith-1.0

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-07-01 / thought-leaders-researcherSimon Willison Runs Ornith-1.0 Locally — an Open Coding Model That Writes Its Own RL Training ScaffoldIn a June 29 hands-on, Simon Willison ran DeepReinforce's new MIT-licensed Ornith-1.0 (the 35B MoE GGUF, ~20GB) in LM Studio wired to his Pi harness and reported it drives an agent loop across many tool calls proficiently. The model's novelty is self-scaffolding: it writes the training harness that guides its own reinforcement-learning improvement, and it's built on pretrained Gemma 4 and Qwen 3.5. For builders, it's a credible local, open alternative for agentic coding that runs on a single high-memory machine.

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USES
Qwen 3.5
Ornith-1.0 is built on pretrained Qwen 3.5.
Source finding
USES
Gemma 4
Ornith-1.0 is built on pretrained Gemma 4.
Source finding
BUILT BY
DeepReinforce
DeepReinforce built Ornith-1.0, an open coding model.
Source finding

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simonwillison.net

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