ms-marco-MiniLM-L4-v2

by cross-encoder

Downloads 1.8M
Likes 14
Size 0 MB
Files 23
Format [safe] SafeTensors
Last Updated 2025-08-29
text-ranking sentence-transformers sentence-transformers pytorch jax onnx safetensors
View on HuggingFace → Download SBOM (JSON)

Trust Score

cross-encoder/ms-marco-MiniLM-L4-v2
56 F

This model has a low trust score. 2 of 8 factors passed.

Factor Status
Verified Organization ? Max 12 points. Verified orgs on HuggingFace have been vetted and display a verification badge. Full points for verified orgs, 85% for well-known AI labs/publishers, 40% for unknown publishers. 7.2/12
Safe Serialization ? Max 18 points. Safe formats (safetensors, GGUF, ONNX) prevent arbitrary code execution. Full points for safe formats only, 70% if both safe and unsafe formats exist, 0% if only pickle/bin files. 12.6/18
No Critical/High CVEs ? Max 15 points. Based on CVE vulnerabilities in dependencies. Full points if no critical/high CVEs, 70% if 1-2 high, 40% if 1-2 critical, 0% if 3+ critical vulnerabilities. 15/15
Clear License ? Max 13 points. Evaluates license clarity and usage rights. Full points for permissive licenses (MIT, Apache), 80% for commercial-friendly, 40% for restrictive, 0% if no license specified. 0/13
Model Card Quality ? Max 10 points. Checks for README (30%), config.json (20%), description (30%), and tags (20%). Full points if score >= 80%, 60% if >= 50%, otherwise 20%. 6.0/10
Recent Updates ? Max 8 points. Based on last update date. Full points if updated within 30 days, 70% within 90 days, 50% within 180 days, 20% if older. 1.6/8
Community Engagement ? Max 6 points. Combined score: 70% downloads (log scale, 10M=100%) + 30% likes (1000=100%). Full points if combined >= 80%, 70% if >= 50%, otherwise proportional. 4.2/6
No Pickle Files ? Max 18 points. Pickle files (.bin, .pt, .pkl) can contain arbitrary code. Full points if no pickle files, 50% if a safe alternative (safetensors/GGUF/ONNX) exists, 0% if only pickle. 9.0/18

Vulnerability Summary

0
Critical
0
High
0
Medium
0
Low
0
Total
[OK]

No Known Vulnerabilities

No vulnerabilities were found in the inferred dependencies.

Environment Checklist

The model's dependencies use current versions. For your own environment, ensure these packages meet the recommended minimums.

torch ≥ 2.6.0 CVE-2025-32434 ↗
transformers ≥ 4.48.0 GHSA-torch ↗
pillow ≥ 10.0.1 CVE-2023-4863 ↗
requests ≥ 2.32.0 CVE-2024-35195 ↗
numpy ≥ 1.22.0 CVE-2021-41495 ↗
scipy ≥ 1.10.0 CVE-2023-25399 ↗

Quick check: pip list | grep -E "torch|transformers|pillow|numpy|requests|scipy"

License Information

Unknown unknown
Commercial Use
[FAIL] Not Allowed
Copyleft Risk
unknown
Dependency Licenses
0 unique
Restrictions
  • License not specified - use with caution

SBOM Components (14)

cross-encoder/ms-marco-MiniLM-L4-v2 777b2f36
huggingface-hub 2.2.0
numpy 2.5.4
onnx 1.23.2
onnxruntime 1.31.0
openvino 2026.4.1
optimum-intel 2.2.0
safetensors 0.8.0
scikit-learn 1.9.1
scipy 1.18.1
sentence-transformers 6.1.0
torch 2.14.1
transformers 5.19.0
/tmp/tmphej91_eo/requirements.txt unknown

Score History

260
Days Tracked
58
Best Score
0
7-Day Change
2025-12-25
First Scanned
Trust Score Trend
Score over time (0-100)
Vulnerability Trend
Critical / High / Other
Leaderboard Rank
Position among 1M+ download models
[eligible]