No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by unslothai · Agent Tool · ★ 73.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Run and train AI models with a unified local interface. Features • Quickstart • Notebooks • Documentation • Discord Unsloth Studio (Beta) lets you run and train text, audio, embedding, vision models on Windows, Linux and macOS.
| Stars | 73,688 |
| Forks | 6,657 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 61.4559923314942/100 |
| Open Issues | 1344 |
| Last Updated | 2026-08-19 |
| Created | 2023-11-29 |
| Platforms | python |
| Est. Tokens | ~17k |
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unsloth is Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.. It is categorized as a Agent Tool with 73.7k GitHub stars.
unsloth is primarily written in Python. It covers topics such as agent, ai, chatgpt.
You can find installation instructions and usage details in the unsloth GitHub repository at github.com/unslothai/unsloth. The project has 73.7k stars and 6657 forks, indicating an active community.
unsloth is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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