google/gemma-4-31B-it pass
No issues found by the checks that have run.
claims base: google/gemma-4-31B · chat template: present · view on Hugging Face ↗
Scan coverageStatic battery2026-08-20Weights battery2026-08-20Behavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-20 |
| Weights battery | Weights forensics: no GPU, no download | complete 2026-08-20262,144-token embedding scanned · 0 undertrained · lineage consistent |
| Behavioral battery | Live-inference differentials | not run |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-20 · published from a community scan.
info Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (1.119). The glitch-token data-corruption class has no candidate surface in this model.
info Weights consistent with claimed parent google/gemma-4-31B
Mean cosine similarity of 64 sampled token-embedding rows against google/gemma-4-31B is 0.867 — 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
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 | gemma4 |
| parameters | 31273.1M |
| vocabulary | 262,144 tokens |
| license | apache-2.0 |
| serialization | safetensors |
| chat template | none |
| claimed lineage | google/gemma-4-31B |
| lineage verified | consistent vs google/gemma-4-31B — embedding-row cosine 0.867 |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | Gemma4ForConditionalGeneration |
| library | transformers |
| pipeline | image-text-to-text |
| repo files | 12 |
| revision | 842da3794eaa |
| HF snapshot | 9.3M downloads · 3.6k likes · updated 2026-07-20 · captured 2026-08-20 |
| embedding tensor | model.language_model.embed_tokens.weight · BF16 · 262,144×5376 |
| embedding norms | median 1.1186 · mean 1.1182 |
| lineage check | consistent — cosine 0.8668 over 64 sampled rows vs google/gemma-4-31B |
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 | 2m | 1 |
| weights | complete | 2026-08-20 08:10 | 82s | 1 |
| weights | complete | 2026-08-20 06:33 | 2m | 1 |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/google/gemma-4-31B-it)