ai model report

Is internlm/internlm2-base-20b safe to load?

LOW risk. 5 of 100 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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// posture

fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety at 20.

// the finding

0.0xyz score out of 10LOW

MEDIUMconfig.json declares `auto_map` — from_pretrained(trust_remote_code=True) executes Python shipped in this repo.

2 more findings on this model.

Author: internlm
Task: text-generation
Loader: transformers
License: other
Downloads: 17,442
Remote code: ships Python that runs on load (trust_remote_code)

// dependencies

16 direct, 11 with findings, 91 reachable

Package	Evidence	Advisories	Worst
transformers	direct, runtime	23	none pinned
torch	direct, runtime	13	none pinned
numpy	direct, install	8	hidden
flash-attn	direct, install	1	hidden
sentencepiece	direct, install	1	hidden
einops	direct, install	0	hidden
huggingface-hub	direct, install	0	hidden
safetensors	direct, install	0	hidden

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// what changed

MEDIUMrisk level raised (unknown to low)2026-09-09

Risk computed 2026-09-22 at 18:57 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.