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google/gemma-4-26B-A4B-it pass

No issues found by the checks that have run.

downloads 13.1Mlikes 1.6klicense apache-2.0arch gemma4params 25805.9Mupdated 2026-07-20

claims base: google/gemma-4-26B-A4B · chat template: present · view on Hugging Face ↗

Scan coverageStatic battery2026-08-20Weights battery2026-08-20Behavioral batterynot rundetails
BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-20
Weights batteryWeights forensics: no GPU, no downloadcomplete 2026-08-20262,144-token embedding scanned · 0 undertrained · lineage consistent
Behavioral batteryLive-inference differentialsnot 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 (1.559). The glitch-token data-corruption class has no candidate surface in this model.

info Weights consistent with claimed parent google/gemma-4-26B-A4B

Mean cosine similarity of 64 sampled token-embedding rows against google/gemma-4-26B-A4B is 0.829 — 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.

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The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-20.

architecturegemma4
parameters26544.1M
vocabulary262,144 tokens
licenseapache-2.0
serializationsafetensors
chat templatenone
claimed lineagegoogle/gemma-4-26B-A4B
lineage verifiedconsistent vs google/gemma-4-26B-A4B — embedding-row cosine 0.829
glitch-token surfaceclean no undertrained tokens
Full measured fingerprint
architecturesGemma4ForConditionalGeneration
librarytransformers
pipelineimage-text-to-text
repo files12
revision4d7ae4984b7d
HF snapshot9.5M downloads · 1.4k likes · updated 2026-07-20 · captured 2026-08-20
embedding tensormodel.language_model.embed_tokens.weight · BF16 · 262,144×2816
embedding normsmedian 1.5589 · mean 1.5154
lineage checkconsistent — cosine 0.8288 over 64 sampled rows vs google/gemma-4-26B-A4B
Battery runs (3)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-20 18:0271s1
weightscomplete2026-08-20 08:1060s1
weightscomplete2026-08-20 06:3382s1

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Ingot verdict: pass

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