Ornith-1.0 released on Hugging Face
Summary
Ornith-1.0 has been released on Hugging Face, featuring a collection of models ranging from 9B to 397B parameters, including dense and MoE architectures, claiming state-of-the-art performance on various benchmarks.
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@anvie: Tested Ornith-1.0-9B, and its impressive for a model of that size. I don't believe this is just 9B!
Ornith-1.0 is a family of open-source LLMs specialized for agentic coding, spanning sizes from 9B to 397B and achieving state-of-the-art performance among open-source models of comparable size.
@MaxForAI: hey! There's actually such an amazing model?? Ornith @ornith_ just open-sourced a new open-source model family. Includes 9B Dense, 31B Dense, 35B MoE, and 397B MoE. And the official benchmarks are impressive, even comparable to GLM…
Ornith has open-sourced the Ornith-1.0 model family, which includes multiple sizes such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves leading performance on coding tasks, even rivaling GLM5.2.
deepreinforce-ai/Ornith-1.0-9B
deepreinforce-ai releases Ornith-1.0, a family of open-source coding agent models achieving state-of-the-art performance on coding benchmarks, available in sizes from 9B to 397B, with a self-improving training framework and MIT license.
DeepReinforce releases Ornith-1.0 open-source coding models (2 minute read)
DeepReinforce open-sources Ornith-1.0, a family of self-improving coding models from 9B to 397B parameters, trained on Gemma 4 and Qwen 3.5 foundations, featuring a novel RL approach that learns to generate its own scaffolds.
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding
DeepReinforce releases Ornith-1.0, an open-weight MIT-licensed LLM family built on Gemma 4 and Qwen 3.5, achieving state-of-the-art coding performance among comparable open-source models.