microsoft/mpnet-base warn
No license declared — no usage rights by default.
chat template: not found · view on Hugging Face ↗
Scan coverageStatic battery2026-08-25Weights battery2026-08-25Behavioral batteryn/adetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-25 |
| Weights battery | Weights forensics — no GPU, no download | complete 2026-08-2530,527-token embedding scanned · 0 undertrained |
| Behavioral battery | Live-inference differentials | n/anot applicable — fill-mask model has no text-generation surface to probe |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-25 · published from a community scan.
medium No license declared
The model card declares no license. You have no usage rights by default — treat as all-rights-reserved until the owner clarifies.
How to fix
Get a license from the owner or pick a licensed alternative — this is a legal gap, not a technical one.
- With no declared license you have no usage rights by default; treat the weights as all-rights-reserved.
- Open an issue or discussion on the repo asking the owner to declare a license, or use the licensed upstream/parent model instead.
info Partial coverage — not a generative language model
fill-mask model — no generation surface, so behavioral (live-inference) checks are not applicable; packaging, license, and weights forensics apply.
info Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (2.419). The glitch-token data-corruption class has no candidate surface in this model.
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
Fingerprint
The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-25.
| architecture | mpnet · 12 layers · 768-dim |
| parameters | 133.0M |
| vocabulary | 30,527 tokens |
| license | none declared |
| serialization | safetensors pickle |
| chat template | none |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | MPNetForMaskedLM |
| library | transformers |
| pipeline | fill-mask |
| repo files | 8 — pickle: pytorch_model.bin |
| revision | 6996ce1e91bd |
| HF snapshot | 186.5k downloads · 51 likes · updated 2024-02-29 · captured 2026-08-25 |
| embedding tensor | mpnet.embeddings.word_embeddings.weight · F32 · 30,527×768 |
| embedding norms | median 2.4192 · mean 2.34 |
| lineage check | no claimed base model |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-25 20:26 | 6s | 1 |
weights run 2026-08-25 — measurements
| probes run | glitch-norm-scan, zero-template-token-scan, lineage-norm-correlation |
| embedding tensor | mpnet.embeddings.word_embeddings.weight · F32 · 30,527×768 |
| glitch surface | 0 undertrained, 0 plain-ASCII |
| lineage check | not checked (no claimed base model) |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/microsoft/mpnet-base)