What is safetensors?

63/100
Trust Score (C+)
⚠️ Use Caution

safetensors is a crates that Provides functions to read and write safetensors which aim to be safer than their PyTorch counterpart. The format is 8 bytes which is an unsized int, being the size of a JSON header, the JSON header r. It has a Nerq Trust Score of 63/100 (C+). 0 GitHub stars. Published by Unknown. Last analyzed June 2026.

Why This Score

Trust & Safety Overview

63
TRUST SCORE
C+
GRADE
0
STARS
0
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What safetensors Does

safetensors is a crates in the crates category. Provides functions to read and write safetensors which aim to be safer than their PyTorch counterpart. The format is 8 bytes which is an unsized int, being the size of a JSON header, the JSON header refers the `dtype` the `shape` and `data_offsets` which are the offsets for the values in the rest of the file. . It is published by Unknown and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use safetensors

safetensors is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
Categorycrates
LicenseNot specified
Typecrates
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=safetensors

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is safetensors used for?
safetensors is a crates tool. Provides functions to read and write safetensors which aim to be safer than their PyTorch counterpart. The format is 8 bytes which is an unsized int, being the size of a JSON header, the JSON header r.
Is safetensors free?
License: Check project page. safetensors has 0 GitHub stars.
Is safetensors safe?
safetensors has a Nerq Trust Score of 63/100 (C+). Use with caution.
What are alternatives to safetensors?
Top alternatives: . See full comparison.

Last updated June 2026. Trust scores based on automated analysis of public data.

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