Skip to content
SiteList

Unsloth

unsloth.ai

Unclaimed listing

Is this your site?

Claim it

What it does

Unsloth is an open-source desktop application and framework for running and training AI models locally, with downloads for macOS, Windows, and Linux.

Two ratings

SiteList review score

A clear local AI workflow with strong technical evidence. Heading, contrast, metadata, and mobile polish still need work.

Reviewed on Sep 6, 2026

Why this score? →

Screenshots

Captured during our latest review on Sep 5, 2026

Home · unsloth.ai

Key features

  • Local model training

    Unsloth Desktop

    Train AI models locally on supported hardware.

  • Local model running

    Unsloth Desktop

    Run AI models locally on desktop hardware.

  • Image and video generation

    Image and Video Generation

    Create and edit images and generate video with supported models and LoRA adapters.

  • Web search

    Advanced Web search

    Use private web search and Deep Research inside Unsloth Desktop.

View source

Who it’s for

  • Run AI models locally

    Run open AI models on local hardware.

  • Train AI models locally

    Train models on local hardware.

  • Connect coding agents to local models

    Connect Claude Code, Codex, and other agents to local models with Unsloth Start.

View source

Integrations

  • OpenAI-compatible API

    developer tools

    An API interface that allows existing applications, scripts, and SDKs to connect to local models.

  • Claude Code

    developer tools

    A coding agent that can connect to local models through Unsloth Start.

View source

Buyer questions

Questions buyers actually ask

Is Unsloth a good fit for local AI work?

Yes. Unsloth is positioned as a free, open-source desktop application for running and training AI models on local hardware, with direct downloads, documentation, and concrete workflows.

How does Unsloth perform?

Field data is strong: tested pages record fast 75th-percentile LCP, INP under 105 milliseconds, and TTFB ranges from 434 to 784 milliseconds across tested pages. Laboratory results identify additional mobile loading work.

What should Unsloth improve first?

Unsloth should address heading order, contrast and ARIA audit failures, missing metadata, duplicate trailing-slash URLs, and the mobile loading issues found in laboratory testing.

Does Unsloth provide documentation and downloads?

Yes. The homepage provides direct routes to Models, Docs, Download, and Desktop, giving technical visitors clear paths to evaluate and start using the product.

Answers are based on SiteList's latest evidence review. Read the full review.

The expert review

Unsloth scores 77/100 for clearly presenting a free, open-source desktop app for running and training AI models locally. Strong field performance, technical copy, and direct downloads are offset by heading, contrast, metadata, and mobile lab issues.

77/100: strong local AI, uneven polish

Read the full review

Verified user reviews

0 verified

No reviews yet. The evidence locker is empty.

Reviews from verified users appear here once approved.

Reviews are from the SiteList community. Some reviewers received incentives — disclosed in the review, always. The verdict is never for sale.

Scores across 13 dimensions

Domain
unsloth.ai
Category
Training data & model ops
Platforms
desktop
Last checked
Sep 6, 2026
Public dimensions
13

Hopsworks

Score 81 out of 100 — Strong

hopsworks.ai

Build, deploy, and scale production ML systems with Hopsworks. The Feature Store and MLOps platform for real-time AI.

Datarobot

Score 76 out of 100 — Strong

datarobot.com

DataRobot provides enterprise software for generative AI, including tools to evaluate and benchmark generative AI models for enterprise applications.

Arcee

Score 74 out of 100 — Fair

arcee.ai

Arcee AI provides an API for accessing its Trinity series of large language models, offering capabilities such as streaming messages, multi-turn conversations, function calling, structured outputs, and reasoning traces.

Qualcomm

Score 74 out of 100 — Fair

qualcomm.com

Qualcomm AI Hub Workbench helps optimize, validate, and deploy machine-learning models on-device for vision, audio, speech, and multimodal use cases.