Organization
Unsloth
Unsloth is a developer platform company based in San Francisco, California81011. This catalog lists 1 software project from Unsloth, under licenses including the GNU Affero General Public License v3.0 only (studio/, unsloth_cli/) and the Apache License 2.0 (unsloth/, tests/, scripts/).
Documented roles: Developer platform
Unsloth develops open-source software for fine-tuning, reinforcement learning, and running language, image, audio, and embedding models on local hardware, offered as a Python library (Unsloth Core), a web interface (Unsloth Studio), and a desktop app (Unsloth Desktop).312
Using this organization’s offerings
The detailed audience, self-hosting, pricing, and restrictions review has not yet been completed. Consult the sourced product records below and the publisher’s current terms. Missing detail means unknown, not unavailable.
Key facts
- Legal name
- Unsloth AI Inc.8
- Ownership (separate from openness)
- Privately held
Recorded classification; fact-level ownership verification pending.
- Legal form
- Delaware corporation8
- Headquarters
- San Francisco, California (owner address in the company's USPTO trademark registration)81011
- Founded
- Unknown
- Sectors
- Open models
What is and isn’t public
Products
No hosted model products are recorded for this organization.
Other products
| Product | Kind | Documented delivery and access | Reviewed |
|---|---|---|---|
| Unsloth Desktop (external site: unsloth.ai) | Developer tool | Free, open-source desktop app for macOS, Windows, and Linux for running and training models locally, with an OpenAI-compatible local API; downloads are published on GitHub.13 | Sep 29, 2026 |
Cataloged artifacts
Frameworks
- Unsloth (open-source library)SoftwareAvailability: Public
In the news
Unsloth release adds Browser use, Qwen-Image-2.1-Turbo, and text-diffusion LLM training
On October 12, 2026 Unsloth published release v0.1.906-beta on its GitHub repository. The release notes say models can now use a browser in Unsloth, opening, reading, and interacting with pages in their own tab, and that Unsloth asks the user before the model signs in, posts a form, or presses a button that buys, sends, or deletes. The notes also list running Qwen-Image-2.1-Turbo from the Images page, training text-diffusion LLMs with a new DiffusionTrainer, faster MoE GGUFs that are larger than available VRAM on NVIDIA and AMD GPUs, and speculative decoding for MLX on Mac. USASI has not tested this release.
Unsloth introduces Unsloth Desktop, an open-source app to run and train models locally
Unsloth announced Unsloth Desktop in a GitHub release published on August 11, 2026. The release notes describe it as an open-source app for Windows, macOS, and Linux that runs and trains AI models locally, and say models can also be exported to NVFP4, GGUF, and other formats. Listed features include training without code, sandboxed Python and Bash execution, web search, Deep Research, RAG, and MCP tools, and an OpenAI-compatible API for local models. The notes say it runs on CPU or multiple GPUs across NVIDIA, AMD, Intel, and Mac hardware. USASI has not tested this app.
Open positions
Automated job coverage is not configured for this organization.
What this catalog does not know
- Founding date: not documented in the sources reviewed.
- Official careers page: not verified by this catalog.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: U.S. headquarters
The deciding evidence is an official registry. The USPTO record for the UNSLOTH trademark (Registration No. 7973599, registered October 7, 2025, for downloadable software for training and fine-tuning large language models) names Unsloth AI Inc., a Delaware corporation, as owner with an address in San Francisco, California. The application first gave a Delaware address; the USPTO's May 2025 office action rejected it as a domicile and required the company's headquarters address, defined as the place where its senior executives direct and control its activities. The company's June 2025 response replaced it with the San Francisco address, the only owner address in that response, and the USPTO's June 2025 action states that an acceptable domicile address was submitted. This is read as a documented U.S. principal place of business. The company's website, re-checked on 2026-10-01, gives no address, and its terms and privacy URLs return not-found errors. The company is named in the copyright notices of the Unsloth repository's license and source files. Y Combinator's directory (San Francisco) and the unslothai GitHub profile (United States) agree but are self-reported and were not relied on.89101112134567
Sources
This listing is not an endorsement or a federal approval.
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Cite this page
APA style
USASI. (2026, October 1). Unsloth. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/companies/unsloth/
BibTeX
@misc{usasi_unsloth,
author = {{USASI}},
title = {Unsloth},
year = {2026},
month = oct,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/companies/unsloth/}},
note = {United States of America Superintelligence. Last updated 2026-10-01}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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