unslothai/unsloth

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Python ◇ agent Apache-2.0

View on GitHub Website

★76.9KSTARS

⑂7.1KFORKS

!1,265ISSUES

🏆#130GLOBAL RANK

🔥6DAYS TRENDING

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Star History

Continuous Observations

Interactive star growth chart for unslothai/unsloth

Momentum

+1.9K

STARS · LAST 30 DAYS

PER DAY

#37

MOST-STARRED Python

Window	7 days	30 days	90 days
Stars gained	+448	+1.9K	+5.8K
Per day	64	64	64
Forks gained	+35	+141	+353

unsloth gained 1.9K stars in the last 30 days, about 64 a day, and now has 76.9K. It is about 3 years old and has averaged roughly 25.6K stars a year. It ranks #37 among Python repositories and #130 across all languages on GitHubRepo.

Trending Record

unsloth has maintained a continuous presence across global trending indexes, peaking at #96. Below is the 30-day activity profile:

💡 Overview

unsloth is an open-source project written in Python: Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, chatgpt. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

Optimized execution pipeline written in Python for predictable speed.

Zero-friction configuration with comprehensive sensible defaults out of the box.

Cross-platform runtime support across Linux, macOS, and Windows environments.

Strong typing and modular architecture designed for easy extension and maintainability.

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal

$ pip install unsloth

$ pip install unsloth # or: brew install unsloth

> pip install unsloth

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

unsloth coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with unsloth.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

Install unsloth using your package manager: `pip install unsloth`

Initialize your project workspace or configuration file for unsloth.

Import unsloth into your codebase or invoke it directly from your terminal.

Execute your test suite or run `unsloth --help` to verify successful setup.

👍 Strengths

Active community backing with 76,704 GitHub stars and verified adoption.

Permissive open-source distribution under the Apache-2.0 license.

Built in Python for high execution speed and developer familiarity.

Cross-platform compatibility across modern Linux, macOS, and Windows environments.

Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.

Ecosystem extensions may require manual configuration depending on environment constraints.

Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡

Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.

Explore all OpenAI API & ChatGPT alternatives →

public-apis/public-apis ★ 483.8K Python

A collective list of free APIs

Compare ↗

EbookFoundation/free-programming-books ★ 398K Python

:books: Freely available programming books

Compare ↗

practical-tutorials/project-based-learning ★ 284.9K Python

Curated list of project-based tutorials

Compare ↗

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The agent that grows with you

Compare ↗

👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

unslothai/unsloth is currently ranked #130 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#125	hoppscotch/hoppscotch	TypeScript	★ 80.5K	Compare ↗
#126	coder/code-server	TypeScript	★ 79.5K	Compare ↗
#127	stablyai/orca	TypeScript	★ 79.4K	Compare ↗
#128	shareAI-lab/learn-claude-code	Python	★ 77.7K	Compare ↗
#129	grafana/grafana	TypeScript	★ 77K	Compare ↗
#130	unslothai/unsloth This Project	Python	★ 76.9K
#131	nestjs/nest	TypeScript	★ 76.7K	Compare ↗
#132	caddyserver/caddy	Go	★ 76.1K	Compare ↗
#133	hiyouga/LlamaFactory	Python	★ 75.1K	Compare ↗
#134	apache/superset	Python	★ 74.9K	Compare ↗
#135	Eugeny/tabby	TypeScript	★ 74.7K	Compare ↗

Frequently Asked Questions

What does unsloth do? +

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

What language is unsloth written in? +

The primary language is Python. Topics include: agent, ai, chatgpt, deepseek, fine-tuning.

Is unsloth actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 1,265 open issues being tracked.

How many stars does unsloth have? +

unsloth has 76,852 stars and 7,055 forks on GitHub.

How does unsloth rank among GitHub repositories? +

With 76,852 stars, unslothai/unsloth is ranked #130 globally across all repositories tracked on GitHubRepo and #37 among Python projects.

What license is unsloth distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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LinkedIn

Why unsloth is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 76,852 developers have starred unslothai/unsloth, an impressive Python open-source project designed to Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 76,852 GitHub stars and 7,055 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/unslothai/unsloth
⭐ GitHub Repository: https://github.com/unslothai/unsloth

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Python

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: unsloth – A free, self-hosted tool that lets you Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more

Hey everyone,

I wanted to share an interesting open-source project called **unsloth** (https://github.com/unslothai/unsloth) that has been picking up heavy momentum lately (76,852 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. unsloth was built with a local-first philosophy, allowing developers to Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Python
- **License:** Apache-2.0
- **GitHub:** [unslothai/unsloth](https://github.com/unslothai/unsloth)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/unslothai/unsloth](https://githubrepo.cloud/repo/unslothai/unsloth)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: unsloth – Local UI to run and train LLMs and diffusion models. Supports GGUF,...

Hi HN,

unsloth is an open-source Python project designed to Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/unslothai/unsloth
Documentation & Metrics: https://githubrepo.cloud/repo/unslothai/unsloth

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, python, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet unsloth (76,852 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet unsloth
published: true
tags: opensource, python, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[unslothai/unsloth](https://github.com/unslothai/unsloth)**, a rapidly rising repository with **76,852 GitHub stars** and **7,055 forks**.

### What is unsloth?

> Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more

Written in **Python**, unsloth runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Python.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#130** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/unslothai/unsloth).

### Quick Start
To get started locally:

```bash
git clone https://github.com/unslothai/unsloth.git
cd unsloth
```

Check out the full repository and star history analytics here:
- **GitHub:** [unslothai/unsloth](https://github.com/unslothai/unsloth)
- **Star Velocity Tracker:** [unsloth on GitHubRepo.cloud](https://githubrepo.cloud/repo/unslothai/unsloth)

𝕏

X / Twitter Communities

Thread / Community Post for unsloth

Developers are sleeping on this GitHub repo 👇

unslothai/unsloth (76,852 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more
💻 Built with: Python
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/unslothai/unsloth

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out unslothai/unsloth.

It already has over 76,852 stars and lets you Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/unslothai/unsloth

From our network

unslothai/unsloth

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💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Autonomous AI Agents

Model Inference & Prompting

Context Memory & RAG

Developer Productivity

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

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🏆 Nearby in the Rankings

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