All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Security
Security
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

DeepReinforce AI Releases Ornith-1.0: Open-Source Agentic Coding Models Up to 397B Parameters

2h ago· 8 min readen

Summary

DeepReinforce AI has released Ornith-1.0, a family of open-source models for agentic coding, available in sizes from 9B to 397B parameters. The models are post-trained on top of Gemma 4 and Qwen 3.5, achieving state-of-the-art performance on coding benchmarks like Terminal-Bench 2.1, SWE-Bench, NL2Repo, and OpenClaw. The release features a self-improving training framework using reinforcement learning that jointly optimizes solution generation and the scaffolding that drives those rollouts.

Source

bskyDeepReinforce AI Releases Ornith-1.0: Open-Source Agentic Coding Models Up to 397B Parametershuggingface.co

Key quotes

· 3 pulled
Aloha! 🌺 Today, we are releasing Ornith-1.0, a self-improving family of open-source models for agentic coding.
Ornith-1.0 employs RL to learn to generate not only solution rollouts, but also the scaffold that drives those rollouts.
We're on a journey to advance and democratize artificial intelligence through open source and open science.
Snippet from the RSS feed
We’re on a journey to advance and democratize artificial intelligence through open source and open science.

You might also wanna read

Comments

Sign in to join the conversation.

No comments yet. Be the first.