# DeepReinforce's Ornith-1.0-9B Targets Agentic Coding

> A compact, MIT-licensed 9B model built for autonomous coding tasks arrives on Hugging Face.

Published by The Open Weights on Jun 21, 2026. Canonical: https://theopenweights.com/news/ornith-1-0-9b-o2ja

## Key facts

- Company: Deepreinforce Ai
- Model: Ornith-1.5-122B
- Version: 1.0
- Category: Text / LLM
- Modalities: Code, Text / LLM
- License: MIT (Open weights, commercial use allowed)
- Parameters: 9B
- Context window: 262K tokens
- Architecture: Qwen3_5ForConditionalGeneration
- Precision: BF16
- Weights size: 18.8 GB
- Significance: minor
- Published: 2026-06-21
- Last verified: 2026-07-14
- Hugging Face: https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B
- Canonical URL: https://theopenweights.com/news/ornith-1-0-9b-o2ja

DeepReinforce has released [Ornith-1.0-9B](https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B), a nine-billion-parameter model aimed squarely at agentic coding workflows. It is a dense (non–mixture-of-experts) model distributed under the permissive MIT license, which allows both commercial and research use with minimal restrictions.

The pitch is size. At 9B parameters, Ornith sits in a sweet spot for teams that want a model small enough to run on modest hardware but capable enough to handle code generation and multi-step, tool-using tasks. That framing puts it in a growing category of compact coding models designed to power autonomous agents rather than one-shot completions.

## Why it matters

Agentic coding — where a model plans, writes, executes, and revises code across several steps — has become a defining use case for open-weight models. A few reasons this release is worth noting:

- **Permissive licensing:** MIT terms make it straightforward to embed in products or fine-tune further.
- **Deployability:** A 9B footprint is friendlier to local and cost-sensitive deployments than frontier-scale systems.
- **Focus:** The model is positioned specifically for code and agent tasks rather than as a general-purpose chatbot.

DeepReinforce has not published detailed benchmark figures or a context-length specification in this record, so real-world evaluation will depend on independent testing. For now, the weights and details are live on [Hugging Face](https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B), and the company outlines the release on its own [project page](https://deep-reinforce.com/ornith_1_0.html). As the first entry in the Ornith line, version 1.0 sets a baseline the team will presumably build on.

## Get the model

- [Hugging Face](https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B)

## Sources

- [deepreinforce-ai/Ornith-1.0-9B](https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B) — Hugging Face, Jun 21, 2026

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "DeepReinforce's Ornith-1.0-9B Targets Agentic Coding", The Open Weights, Jun 21, 2026, https://theopenweights.com/news/ornith-1-0-9b-o2ja