sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 pass
chat template: not in config · view on Hugging Face ↗
Ingot findings
Static battery clean: safetensors weights, license declared, no template/tokenizer drift detected. Deep battery not yet run. Weights battery: embedding-norm scan over 250037 tokens (F32, 384-dim) found 1 undertrained candidates, 0 plain-ASCII. Scanned 2026-08-20 (published from a community scan).
low Undertrained tokens in vocabulary (non-ASCII tail)
Embedding-norm scan flagged 1 undertrained tokens (norm < 0.3× the vocabulary median), but 0 decode to plain-ASCII strings, so exposure in English-language pipelines is limited. Behavioral confirmation requires the GPU deep battery.
How to fixruntime guardweight-level
Keep the affected token strings out of the model's input — the scan-derived runtime guard carries this model's exact blocklist.
- Fetch this model's guard artifact (`/api/v1/guard/<owner>/<model>`): the confirmed corrupting tokens and the low-norm candidate list, derived from the published scan.
- Screen inbound text with it (the `@ingotai/guard` package is a reference implementation) and route flagged records to a different model or human review — verbatim-copy tasks on flagged strings are the failure mode.
- The underlying cause is undertrained embeddings in the weights; a true fix is weight-level (continued pretraining on the affected tokens) — that is not a patch, it's a training job.
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
Fingerprint
The durable weights-and-metadata profile of this model, rebuilt on every scan and deep-battery run. Updated 2026-08-20.
| architecture | bert · 12 layers · 384-dim |
| parameters | 117.7M |
| vocabulary | 250,037 tokens |
| license | apache-2.0 |
| serialization | safetensors pickle |
| chat template | none |
| glitch-token surface | 1 undertrained candidates, 0 plain-ASCII |
Full fingerprint
| architectures | BertModel |
| library | sentence-transformers |
| pipeline | sentence-similarity |
| repo files | 28 — pickle: openvino/openvino_model.bin, openvino/openvino_model_qint8_quantized.bin, pytorch_model.bin |
| revision | e8f8c211226b |
| HF snapshot | 55.5M downloads · 1.3k likes · updated 2026-01-28 · captured 2026-08-20 |
| embedding tensor | embeddings.word_embeddings.weight · F32 · 250,037×384 |
| embedding norms | median 0.4017 · mean 0.4104 |
| lineage check | no claimed base model |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2)