DeepReinforce released Ornith-1.0, a free, open-source AI model designed for coding tasks, in four size variants. Built from Apache 2.0–licensed base models and available under MIT license, it achieves top-tier performance on coding benchmarks and can run on consumer hardware, making it accessible to developers and smaller teams.
Summaries like this, in your inbox every morning.
Sign up free →What happened
DeepReinforce, a new AI company, released Ornith-1.0, an open-source model (MIT licensed) available in four variants—9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built on pretrained Gemma 4 and Qwen 3.5, it achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks.
Why it matters
The model's Apache 2.0–compatible licenses (inherited from Gemma 4 and Qwen 3.5) make it freely usable for commercial and derivative work. Early testing shows it handles multi-step agent workflows efficiently, suggesting it may be useful for developers building systems that perform coding tasks autonomously.
What to watch
The 35B MoE variant runs via GGUF format on consumer hardware (20GB version tested); the model generated output at 103 tokens per second in generation tests. DeepReinforce's earliest known publication is a June 2025 paper on CUDA optimization.
No comments yet. Be the first to share your thoughts!
Log in to join the discussion
Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.
Get Started FreeFree · takes 30 seconds · unsubscribe anytime
1 minute a day. The AI essentials.
200+ sources · Email / LINE / Slack
