Ornith 1.0 9B
Ornith 1.0 9B is DeepReinforce's agentic-coding model, RL post-trained on Qwen3.5 and Gemma 4 bases and released June 25, 2026 under MIT. It runs a 256K context, and the Q4_K_M build is 5.6GB. The Ollama tag drew 262.9K pulls in its first two weeks.
Overview
Ornith 1.0 9B is DeepReinforce's agentic-coding model, RL post-trained on Qwen3.5 and Gemma 4 bases and released June 25, 2026 under MIT. It runs a 256K context, and the Q4_K_M build is 5.6GB. The Ollama tag drew 262.9K pulls in its first two weeks.
Strengths
- MIT license with no usage restrictions
- RL post-training aimed specifically at agentic coding loops
- 5.6GB Q4_K_M runs on 8GB cards with context headroom
Weaknesses
- Two weeks of public adoption — 262.9K pulls is early signal, not a track record
- Coding-specialized post-training; general chat quality unverified at intake
- New vendor with little independent benchmark coverage so far
Reviewed quality benchmarks
First-party rows were run by RunLocalAI; reviewed community rows are labeled in the data. Every row links to the raw test-run log.
| Benchmark | Quant | Runtime / Hardware | Score | Raw log |
|---|---|---|---|---|
HumanEval+ tested 2026-07-18 | Q4_K_M | ollama-0.32 rtx-3080-16gb-mobile | 73.2/100 | Gist → |
Q4_K_M note:First-party HumanEval+ on RTX 3080 Laptop 16GB via Ollama 0.32. Windows-safe scoring via scripts/evalplus_score_windows.py. July 2026 campaign.
Want to verify? Every row links to its Gist with full stdout and stderr of the run. The runner script is in the public repo (scripts/run-humaneval-plus.ts) — reproducible end-to-end. Browse all coding scores at /benchmarks/coding.
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 5.6 GB | 7 GB |
Get the model
Ollama
One-line install
ollama run ornith:9bRead our Ollama review →Hardware that runs this
Cards with enough VRAM for at least one quantization of Ornith 1.0 9B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Ornith 1.0 9B?
Can I use Ornith 1.0 9B commercially?
What's the context length of Ornith 1.0 9B?
How do I install Ornith 1.0 9B with Ollama?
Source: Vendor official documentation
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Ornith 1.0 9B runs on your specific hardware before committing money.