unslothai/unsloth

Name: unslothai/unsloth
Author: unslothai

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Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.

64,9755,757forksLast commit today

64,975

GitHub stars

5,757

Forks

73Score

Good

64,975stars

5,757forks

2d ago·May 22, 2026

adoption50

Weight10%

security30

Weight20%

community82

Weight25%

maintenance98

Weight30%

documentation83

Weight15%

Presets:

Maintenance30%

Community25%

Security20%

Documentation15%

Adoption10%

Weights auto-normalize to 100% total

0+site visits

Badge

AI Analysis

CAUTIONMay 22, 2026

Unsloth Studio demonstrates exceptional community adoption with 65K stars and 210 active contributors, showing strong maintenance (97.6/100) and regular release cadence (22 releases/year). However, the lack of a security policy (Security: 30/100) and below-average README quality (57/100) present legal and documentation gaps. The absence of any dependent repositories despite high popularity suggests limited real-world integration, though the Apache 2.0 license enables commercial use.

Last commit today

Strengths

Massive community adoption with 64,974 stars and 210 contributors in the last 6 months indicating strong interest
Excellent maintenance score (97.6/100) with very recent commits and 22 releases in the past year
Apache 2.0 license permits commercial use and provides clear legal terms
Has contributing guidelines in place, supporting community collaboration

Concerns

No security policy (SECURITY.md) documented, creating legal and security governance gaps
Zero dependent repositories despite high star count suggests limited real-world integration or reusability
README quality score of 57/100 is below average, indicating documentation could be more comprehensive
1,084 open issues with only 2,337 closed suggests potential backlog or unresolved user problems

Red Flags

No SECURITY.md policy - security practices are undocumented
Zero dependent repositories despite 65K stars - unusual adoption pattern requiring verification

Best For

Developers and researchers seeking to fine-tune open LLMs locally with strong community support, provided they implement their own security review and documentation verification

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