Ornith 1.0 35B
Ornith 1.0 35B is the larger MoE sibling of Ornith 9B (this catalog), DeepReinforce's RL-post-trained agentic-coding line, released June 25, 2026 under MIT with a 256K context.
Overview
Ornith 1.0 35B is the larger MoE sibling of Ornith 9B (this catalog), DeepReinforce's RL-post-trained agentic-coding line, released June 25, 2026 under MIT with a 256K context.
Strengths
- MIT license with no usage restrictions
- RL post-training aimed specifically at agentic coding loops
- MoE design scales up from the 9B sibling without a proportional decode-speed cost
Weaknesses
- Same one-month public track record as the 9B sibling — early signal, not a history
- 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 2026-07-21 | Q4_K_M | ollama-0.32.1-vast5090 rtx-5090 | 88.4/100 | Gist → |
Q4_K_M note:First-party HumanEval+ on a rented Vast.ai RTX 5090 32GB instance via Ollama 0.32.1. Generation via evalplus_openai_generate.py, scoring via evalplus.evaluate (native Linux, no Windows shim needed). No DB credentials were placed on the rented host — results were pulled back and ingested from the operator's machine.
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 | 21.0 GB | 25 GB |
Get the model
Ollama
One-line install
ollama run ornith:35bRead our Ollama review →Hardware that runs this
Cards with enough VRAM for at least one quantization of Ornith 1.0 35B.
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 35B?
Can I use Ornith 1.0 35B commercially?
What's the context length of Ornith 1.0 35B?
How do I install Ornith 1.0 35B 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 35B runs on your specific hardware before committing money.