unsloth is by unslothai — not by us.
We indexed this project so people can find it. We are not selling it, we host no copy of the code, and we are not affiliated with or endorsed by its authors — get it from them.
Indexed Sep 21, 2026 · 76,527 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
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unsloth
unclaimed listingactively maintainedFreeApache-2.0
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX
by Open Source Community · New publisher
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unslothai/unsloth is an open-source project by unslothai: Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/unslothai/unsloth
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
Unsloth is the first desktop app to run and train models.
Features • Quickstart • Notebooks • Documentation
⚡ Get started Download the native Unsloth Desktop app for your operating system: Platform Link Windows Download macOS Download Linux x64 / Ubuntu (deb) Download Linux ARM64 / Ubuntu 24.04+ (deb) Download Linux x64 (AppImage) Download
Download from Unsloth or GitHub Releases.
Or if you prefer to install manually:
macOS, Linux, WSL: Windows: Docker
The Unsloth Docker image unsloth/unsloth is available on Docker. Read guide.
Community: • Discord • 𝕏 (Twitter) • Reddit
⭐ Features Unsloth works on Windows, Linux, WSL and macOS. We support Multi GPU setups, NVIDIA, AMD, Intel GPUs, CPUs and the Vulkan backend.
Run & Build with AI Run and train LLMs, MLX, GGUF, diffusion, embedding, audio models: Qwen3.8, GLM-5.3-Flash, Kimi K3, MiniMax-H3, DeepSeek-V4, Gemma 4. Agents & Tools: Use local models with Claude Code, Codex, and MCP, including tool calling and code execution. Search & RAG: Use private and unlimited web search, deep research, auto-compaction (rolling context window) and RAG. Image and video: Run and train image and video diffusion or multimodal models Remote & LAN: Access your local models from any device on LAN or remotely through secure Cloudflare HTTPS. Connect: Serve models through an OpenAI compatible API. Also connect your ChatGPT/Codex subscription and cloud providers
Train & Deploy Fine-tuning: Train LLMs, diffusion, TTS, and embedding models 2× faster with 70% less VRAM with no accuracy loss Complete support: Supports reinforcement learning, LoRA, QLoRA, full fine tuning, pretraining, RL, GRPO, DPO, and FP8. Export & Deploy: Export or Deploy models with…
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01Capabilities
Does
- No capabilities recorded
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
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Issues 0
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04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.
05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Sep 21, 2026 | Indexed listing — see the upstream repository for real release history. |