google/gemma-4-31B pass
No issues found by the checks that have run.
chat template: not found · view on Hugging Face ↗
Scan coverageStatic battery2026-08-22Weights battery2026-08-22Behavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-22 |
| Weights battery | Weights forensics: no GPU, no download | complete 2026-08-22262,144-token embedding scanned · 0 undertrained |
| Behavioral battery | Live-inference differentials | not run |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-22 · 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 (1.000). 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.
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Fingerprint
The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-22.
| architecture | gemma4 |
| parameters | 32682.4M |
| vocabulary | 262,144 tokens |
| license | apache-2.0 |
| serialization | safetensors |
| chat template | none |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | Gemma4ForConditionalGeneration |
| library | transformers |
| pipeline | image-text-to-text |
| repo files | 10 |
| revision | 5bbc2fb1c1b2 |
| HF snapshot | 754.2k downloads · 508 likes · updated 2026-07-15 · captured 2026-08-21 |
| embedding tensor | model.language_model.embed_tokens.weight · BF16 · 262,144×5376 |
| embedding norms | median 0.9998 · mean 0.9998 |
| 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 | 2026-08-21 07:43 | 2m | 1 |
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | model.language_model.embed_tokens.weight · BF16 · 262,144×5376 |
| 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/google/gemma-4-31B)