Repository intelligence

unslothai/unsloth

GitHub

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, FLUX and more.

CLOUDM0N decision
Trust FAIL · 0/100
Good fit if

Teams whose requirements match this repository’s core capability.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Best for
Teams whose requirements match this repository’s core capability.
Main trade-offs
Review deployment and security evidence before production adoption.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
5
CLOUDM0N scanner findings
Critical
1
High
1
Medium
3
Low
0
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
CRITICAL
Private-key material appears to be committed in executable/config scope. 3 sample match(es) found.
HIGH
Remote download piped or chained into a shell requires manual review. 5 sample match(es) found.
MEDIUM
Dynamic code execution pattern detected. 5 sample match(es) found.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
MEDIUM
Broad permission or elevated-command pattern detected. 5 sample match(es) found.
Architecture from code6 modules · 0 edges
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
3543
Modules
6
Dependency edges
0
Core modules
(root)
2 files
attribution
1 files
scripts
44 files
studio
3207 files
Dependency flow
No dependency edges were extracted.
Detected languages
TypeScript · Python · Shell · JavaScript · Rust
Detected frameworks
Pydantic
Architecture evidence details
flowchart TD
    %% unsloth — high-level architecture (DRAFT, refine me)
    n0["(root) · 2 files"]
    n1["attribution · 1 file"]
    n2["scripts · scripts · 44 files"]
    n3["studio · 3207 files"]
    n4["tests · tests · 289 files"]
    class n2 infra
    class n4 test
    classDef infra fill:#b35c00,color:#ffffff,stroke:#8f4a00
    classDef test fill:#499894,color:#ffffff,stroke:#397975
Agent handoff
Use with any agent
JSON API
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