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Ornith 9B

Deep Reinforce's 9B self-improving agentic-coding model (MIT) with 256K context and native tool use.

Deep Reinforce's Ornith 9B is an open-weight text model. It takes a text prompt and replies with generated text. It runs entirely on your own hardware through Ollama: no API key and no per-use fees.

Use this modelCompare
Modality
Text
Available on
Ollama
Model ID
ollama:ornith:9b
Supported OS
macOSWindowsLinux
Minimum machine configuration
16 GB RAM · 256K ctx · text · CPU/GPU
Download size · ~5.6 GB
Specs
Pricing
Free, runs on your hardware
About the creator

Deep Reinforce

Deep Reinforce builds the Ornith family — self-improving open-weight (MIT) models for agentic coding, tuned with reinforcement learning on coding and terminal benchmarks.

deep-reinforce.com ↗
More from Deep Reinforce
Ornith 35B
TextLocal
Deep Reinforce's flagship 35B self-improving agentic-coding model (MIT) with 256K context — state-of-the-art open-source coding for its size.
From the blog
Run Ornith locally: the open coding model built for agents, not you
July 5, 2026
It scores next to Claude Opus 4.7 at fixing real bugs, and it's a free MIT download. The strange part: it wrote its own training guide.

One-time payment. Yours forever.

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$98
Pricing

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