DeepReinforce launched Ornith-1.0, an open-source (MIT) self-scaffolding LLM for agentic coding, achieving state-of-the-art performance among open-source models on coding benchmarks, making it a compelling option for MENA enterprises adopting agentic AI.

Updated: 6/29/2026 1 min read

Ornith-1.0: Open-Source Self-Scaffolding LLM for Agentic Coding from DeepReinforce

Overview of Ornith-1.0

FAQ

What is Ornith-1.0?

An open-source (MIT) self-scaffolding LLM for agentic coding from DeepReinforce, built on Gemma 4 and Qwen 3.5.

What sizes are available for Ornith-1.0?

It comes in 9B dense, 31B dense, 35B MoE, and 397B MoE variants.

Can Ornith-1.0 be run locally?

Yes, via LM Studio using GGUF files, such as the 35B Q4_K_M at 20GB.

How does Ornith-1.0 compare to other models?

It achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks, outperforming many closed models.

Source: Simon Willison (LLM & tools)

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