FrogNano
A compact agent for working with repository code, based on Qwen3.5-4B: searches the project, edits files, runs tests and prepares a patch. Trained only with reinforcement learning on about 1500 synthetic tasks. Works through the light Leaf harness with five tools.
- Developer
- Microsoft, USA
- First release
- Sep 2026
- Latest release
- Sep 2026
- Sizes
- 4B
- License
- Commercial use allowedMIT
- Russian
- Not stated
- Running
- On your own serverNeeds a GPU
- Industries
- Software development
What it does
- fixing bugs in a repository from a task description
- navigating an unfamiliar codebase
- preparing patches with test runs
Where it is used
Hardware requirements
Versions
- FrogNano-4B-2609
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can FrogNano be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does FrogNano need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does FrogNano support Russian?
The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.
Where can I download FrogNano and what does it cost?
The FrogNano weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
The broadest open coding family: from 0.5B for autocompletion to 480B for agents. Qwen3-Coder-Next (80B, 3B active) works as a developer agent on a single GPU.
DetailsCodeDevstralMistral AI (with All Hands AI) · FranceCommercial use with conditionsMistral models for agentic development: they read the repository, edit files and run commands on their own. The 24B version fits on a single GPU.
DetailsCodeSERA (Ai2 Open Coding Agents)Ai2 (Allen Institute for AI) · USACommercial use allowedFully open developer agents from Ai2: weights, data and training recipe are all public. Designed so a company can cheaply fine-tune the agent on its own repository.
DetailsSource: huggingface.co/microsoft/FrogNano-4B-2609. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


