openai/whisper-large-v3-turbo warn
Its license differs from its base model's. Plus 1 minor note.
claims base: openai/whisper-large-v3 · 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 2026-08-2051,866-token embedding scanned · 0 undertrained · lineage inconsistent |
| Behavioral battery | Live-inference differentials | n/anot applicable: automatic-speech-recognition 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 License differs from claimed parent (mit vs apache-2.0)
This model declares mit while its claimed base openai/whisper-large-v3 declares apache-2.0. Verify the re-license is permitted before commercial use.
How to fix
Verify the re-license is actually permitted before relying on it.
- Read the parent's license for derivative-work and re-licensing terms — many open-weight licenses (e.g. Llama-family) do not permit arbitrary re-licensing.
- If the re-license is not permitted, the parent's terms govern your use regardless of what this repo declares.
info Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (0.636). The glitch-token data-corruption class has no candidate surface in this model.
low Weights diverge from claimed parent openai/whisper-large-v3
This model declares openai/whisper-large-v3 as its base (relation: unspecified), but mean cosine similarity of 64 sampled token-embedding rows against that parent is only 0.258 (true finetunes, merges, and quantizations sit above 0.8; independently trained weights sit near 0). Either the lineage label is wrong, or the model was so heavily re-trained, pruned, or distilled that the parent's properties (safety posture, evaluated behavior, licensing basis) should not be assumed to carry over. Verify provenance before relying on the parent's reputation.
How to fix
Fix or verify the `base_model` declaration so lineage checks can run.
- If you own the repo: correct the `base_model` field in the model card metadata to the real, public parent.
- If you don't: identify the true parent (config architecture + weight shapes narrow it fast) and re-scan with that lineage in mind.
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
Use the web app, API, CLI, or CI gate to scan candidate checkpoints and catch model drift before deployment. Public-model scans publish to the open database; paid plans add the volume needed for continuous checks.
Fingerprint
The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-20.
| architecture | whisper · 32 layers · 1280-dim |
| parameters | 808.9M |
| vocabulary | 51,866 tokens |
| license | mit |
| serialization | safetensors |
| chat template | none |
| claimed lineage | openai/whisper-large-v3 |
| lineage verified | inconsistent vs openai/whisper-large-v3 — embedding-row cosine 0.258 |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | WhisperForConditionalGeneration |
| library | transformers |
| pipeline | automatic-speech-recognition |
| repo files | 13 |
| revision | 41f01f3fe87f |
| HF snapshot | 7.9M downloads · 3.3k likes · updated 2024-10-04 · captured 2026-08-20 |
| embedding tensor | model.decoder.embed_tokens.weight · F16 · 51,866×1280 |
| embedding norms | median 0.6361 · mean 0.6352 |
| lineage check | inconsistent — cosine 0.2583 over 64 sampled rows vs openai/whisper-large-v3 |
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 | 32s | 1 |
| weights | complete | 2026-08-20 08:10 | 31s | 1 |
| weights | complete | 2026-08-20 06:33 | 35s | 1 |
Verdict badge
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[](https://ingot.tools/models/openai/whisper-large-v3-turbo)