What is nanotron?
71/100
Trust Score (B)
✅ Safe
nanotron is a AI tool that Minimalistic large language model 3D-parallelism training. It has a Nerq Trust Score of 71/100 (B). 2.6K GitHub stars. Published by Unknown. Last analyzed March 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 2.6K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
71
TRUST SCORE
B
GRADE
2.6K
STARS
0
DOWNLOADS
What nanotron Does
nanotron is a tool in the AI tool category. Minimalistic large language model 3D-parallelism training. It is published by an independent developer and has no specified license. With 2.6K GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use nanotron
nanotron is well-suited for production use given its strong trust score and active community.
Details
| Author | Unknown |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=huggingface-nanotron
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| openclaw | 84 | 218.2K |
| stable-diffusion-webui | 69 | 160.7K |
| prompts.chat | 69 | 145.8K |
| generative-ai-for-beginners | 72 | 106.7K |
| ComfyUI | 72 | 103.7K |
Frequently Asked Questions
What is nanotron used for?
nanotron is a AI tool tool. Minimalistic large language model 3D-parallelism training.
Is nanotron free?
License: Check project page. nanotron has 2.6K GitHub stars.
Is nanotron safe?
nanotron has a Nerq Trust Score of 71/100 (B). Safe for production use.
What are alternatives to nanotron?
Top alternatives: openclaw, stable-diffusion-webui, prompts.chat. See full comparison.
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Last updated March 2026. Trust scores based on automated analysis of public data.