model June 28, 2026

Ornith‑1.0‑35B: Open‑Source Agentic Coding Model Shines on Benchmarks

deepreinforce-ai/Ornith-1.0-35B ↗

Ornith-1.0-35B is a 35‑billion‑parameter mixture‑of‑experts (MoE) language model released by the Deep Reinforce team. Built on top of Qwen 3.5 and Gemma 4, it belongs to the Ornith-1.0 family of *self‑improving* models that generate chain‑of‑thought reasoning wrapped in <think>...</think> blocks and can emit well‑formed tool‑call XML that is parsed into OpenAI‑style `tool_calls`. The model is licensed under MIT, making it free for commercial and academic use, and it requires recent runtimes (Transformers ≥ 5.8.1, vLLM ≥ 0.19.1, SGLang ≥ 0.5.9).

Project Ideas

  1. Deploy an OpenAI‑compatible coding assistant that suggests code snippets and explains the reasoning trace for each suggestion.
  2. Create an automated bug‑fixing bot that uses the model's tool‑calling ability to run shell commands, inspect errors, and patch code.
  3. Integrate Ornith‑1.0‑35B with the OpenHands framework to build a full‑stack software development agent that can navigate, edit, and test code repositories.
  4. Build an educational platform where users submit a programming problem and receive a step‑by‑step solution extracted from the model's <think> reasoning block.
  5. Use the model's NL2Repo capabilities to generate a complete GitHub‑style repository from natural‑language specifications.
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