Twitter/X

On 2026-06-26 @AlexFinn reported Ornith-1.0 35b is the best local model he's run…

2026-06-26 · 15:56 UTC ·@AlexFinn ·1 min read

Brief

Ornith-1.0 35b is presented as a high-performance local coding model that avoids 200+ GB RAM requirements, outperforms Qwen 3.6 per the author, and runs well on DGX Spark. @AlexFinn describes an hourly vulnerability-scanning loop and daily verification/fix and PR-review loops, arguing continuous local-model automation is the future. The Ornith family (9B–397B) ships MIT-licensed with published benchmark scores and an RL scaffold-driven training method.

Why it matters

On 2026-06-26 @AlexFinn reported Ornith-1.0 35b is the best local model he's run that doesn't require 200+ GB RAM, claiming it's both smarter and faster than Qwen 3.6 and 'incredible at coding', and that it runs smoothly on a DGX Spark.

Key details

  • He runs Ornith hourly against the Henry Intelligent Machines codebase to find security vulnerabilities and auto-generate fix reports; a daily Codex loop verifies and applies fixes and another daily loop reviews open PRs — demonstrating a 24/7 local-model automation pipeline.
  • The Ornith family includes 9B Dense, 31B Dense, 35B MoE and 397B MoE models; reported benchmark scores include Terminal-Bench 2.1=77.5, SWE-Bench=82.4 (verified)/62.2 (pro)/78.9 (multilingual), NL2Repo=48.2, SWE Atlas (QnA 41.2, RF 42.6, TW 39.1), ClawEval=77.1; models are post-trained on gemma4 and qwen3.5 using an RL 'scaffold+solution' self-improving strategy and released under the MIT license.
Source evidence

I'm blown away.

Ornith-1.0 35b is the best local model I've ever run that doesn't require 200GB+ of RAM

Incredible at coding

According to my tests it's both smarter and faster than Qwen 3.6

Plus it runs like a dream on a DGX Spark

Here's how I'm using it:

I have it running every hour and looping through different parts of my Henry Intelligent Machines codebase

It looks for security vulnerabilities

Any vulnerabilities it finds, it writes a report with the fix

Then once a day another loop I have running in Codex reads the report with all the security bugs and verifies, then fixes

I also have it once a day going through a reviewing all my open PRs

Local models running on loops 24/7 is the future. I promise you

What's becoming possible today with local models is truly mind blowing

Video

Ornith (@ornith_)

Aloha! 🌺 Meet Ornith-1.0, a family of open-source LLMs specialized for agentic coding.

Ornith-1.0 spans the full parameter sizes including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks including:
✅Terminal-Bench 2.1(77.5)
✅SWE-Bench(82.4 on verified, 62.2 on pro, 78.9 on Multilingual)
✅NL2Repo(48.2)
✅SWE Atlas(41.2 on QnA, 42.6 RF, 39.1 TW)
✅ClawEval(77.1)

Post-trained on top of gemma4 and qwen3.5, Ornith-1.0 employs a novel self-improving training strategy in which reinforcement learning is used to generate not only solution rollouts, but also the task-specific scaffolds that drive those rollouts. By jointly optimizing the scaffold and the resulting solution, the model generate higher-quality solutions in agentic coding.😎

All models are released under the MIT license, enabling full commercial and research use.

📖Tech Blog: deep-reinforce.com/ornith1…
🤗Huggingface: huggingface.co/collections/d…

— https://nitter.net/ornith_/status/2070148887067963854#m