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unslothai
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unslothai/unsloth

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.

Python ◇ agent Apache-2.0
★79.4KSTARS
⑂7.4KFORKS
!521ISSUES
🏆#150GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

unsloth is 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.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), unslothai/unsloth has accumulated 79,372 GitHub stars and 7,394 forks. It is written in Python, licensed under Apache-2.0, and ranks #150 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
Repository unslothai/unsloth ↗
Primary Category agent
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 79.4K stars · ⑂ 7.4K forks · #150 globally
Maintenance ● Active (Last commit: Nov 12, 2026) · 521 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 95/100 · Grade A+
✅
Is unsloth actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, unsloth is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 79,372 stars and 7,394 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (521 open).

Commit Recency
Nov 12, 2026
0 days since last push
Issue Backlog
521 Open Issues
Active Community Feedback (521 open)
Community Backing
7.4K Forks
79.4K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for unslothai/unsloth
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Momentum

+2.1K

STARS · LAST 30 DAYS

71

PER DAY

#38

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+759+2.1K+6.4K
Per day1087171
Forks gained+99+280+370

unsloth gained 2.1K stars in the last 30 days, about 71 a day, and now has 79.4K. It is about 3 years old and has averaged roughly 26.5K stars a year. It ranks #38 among Python repositories and #150 across all languages on GitHubRepo.

Trending Record

unsloth has maintained a continuous presence across global trending indexes, peaking at #75. 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

1

Optimized execution pipeline written in Python for predictable speed.

2

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

3

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

4

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

5

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

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

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

2

Initialize your project workspace or configuration file for unsloth.

3

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

4

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 →
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👥 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 #150 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#150 unslothai/unsloth This Project Python ★ 79.4K
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Frequently Asked Questions

What does unsloth do? +

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.

Is unsloth actively maintained in 2026? +

Yes, unsloth is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 79,372 stars and 521 open issues.

What language is unsloth written in? +

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

How many stars does unsloth have? +

unsloth has 79,372 stars and 7,394 forks on GitHub.

How does unsloth rank among GitHub repositories? +

With 79,372 stars, unslothai/unsloth is ranked #150 globally across all repositories tracked on GitHubRepo and #38 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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