other
35B parameters
Commercial OK
Reviewed July 2026

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.

License: MIT·Released Jun 25, 2026·Context: 262,144 tokens

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
BLK · QUALITY BENCHMARKreviewed · raw logs

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.

BenchmarkQuantRuntime / HardwareScoreRaw 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.

QuantizationFile sizeVRAM required
Q4_K_M21.0 GB25 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.

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Frequently asked

What's the minimum VRAM to run Ornith 1.0 35B?

25GB of VRAM is enough to run Ornith 1.0 35B at the Q4_K_M quantization (file size 21.0 GB). Higher-quality quantizations need more.

Can I use Ornith 1.0 35B commercially?

Yes — Ornith 1.0 35B ships under the MIT, which permits commercial use. Always read the license text before deployment.

What's the context length of Ornith 1.0 35B?

Ornith 1.0 35B supports a context window of 262,144 tokens (about 262K).

How do I install Ornith 1.0 35B with Ollama?

Run `ollama pull ornith:35b` to download, then `ollama run ornith:35b` to start a chat session. The default quantization is Q4_K_M.

Source: Vendor official documentation

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify Ornith 1.0 35B runs on your specific hardware before committing money.