datasocietyco/bge-base-en-v1.5-course-recommender-v5 warn
No license declared — no usage rights by default.
claims base: BAAI/bge-base-en-v1.5 · chat template: not found · view on Hugging Face ↗
Scan coverageStatic battery2026-08-20Weights battery2026-08-20Behavioral batteryn/adetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-20 |
| Weights battery | Weights forensics: no GPU, no download | complete 2026-08-2030,522-token embedding scanned · 0 undertrained · lineage consistent |
| Behavioral battery | Live-inference differentials | n/anot applicable: sentence-similarity model has no text-generation surface to probe |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-20 · 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 Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (1.606). The glitch-token data-corruption class has no candidate surface in this model.
info Weights consistent with claimed parent BAAI/bge-base-en-v1.5
Mean cosine similarity of 64 sampled token-embedding rows against BAAI/bge-base-en-v1.5 is 1.000 — the weights plausibly descend from the declared base (relation: unspecified).
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
Check every checkpoint before it ships
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Fingerprint
The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-20.
| architecture | bert · 12 layers · 768-dim |
| parameters | 109.5M |
| vocabulary | 30,522 tokens |
| license | none declared |
| serialization | safetensors |
| chat template | none |
| claimed lineage | BAAI/bge-base-en-v1.5 |
| lineage verified | consistent vs BAAI/bge-base-en-v1.5 — embedding-row cosine 1.000 |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | BertModel |
| library | sentence-transformers |
| pipeline | sentence-similarity |
| repo files | 12 |
| revision | 2b069eed51ce |
| HF snapshot | 4.2M downloads · 1 likes · updated 2025-01-09 · captured 2026-08-20 |
| embedding tensor | embeddings.word_embeddings.weight · F32 · 30,522×768 |
| embedding norms | median 1.6059 · mean 1.5983 |
| lineage check | consistent — cosine 1 over 64 sampled rows vs BAAI/bge-base-en-v1.5 |
Battery runs (3)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-20 18:02 | 27s | 1 |
| weights | complete | 2026-08-20 08:10 | 18s | 1 |
| weights | complete | 2026-08-20 06:35 | 28s | 1 |
Verdict badge
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[](https://ingot.tools/models/datasocietyco/bge-base-en-v1.5-course-recommender-v5)