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farbodtavakkoli/OTel-2.0-LLM-31B-IT pass

No issues found by the checks that have run.

downloads 3.0Mlikes 22license apache-2.0arch gemma4params 31273.1Mupdated 2026-09-08

claims base: google/gemma-4-31b-it · chat template: present · view on Hugging Face ↗

Scan coverageStatic battery2026-08-20Weights battery2026-08-20Behavioral batteryfaileddetails
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 differentialsfailedTraceback (most recent call last): | AttributeError: 'list' object has no attribute 'keys'

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 (1.117). The glitch-token data-corruption class has no candidate surface in this model.

info Weights consistent with claimed parent google/gemma-4-31B-it

Mean cosine similarity of 64 sampled token-embedding rows against google/gemma-4-31B-it 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.

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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_text · 60 layers · 5376-dim
parameters32106.6M
vocabulary262,144 tokens
licenseapache-2.0
serializationsafetensors
chat templatenone
claimed lineagegoogle/gemma-4-31B-it
lineage verifiedconsistent vs google/gemma-4-31B-it — embedding-row cosine 1.000
glitch-token surfaceclean no undertrained tokens
Full measured fingerprint
librarytransformers
pipelinetext-generation
repo files21
revision8fe003be677c
HF snapshot5.9M downloads · 13 likes · updated 2026-08-19 · captured 2026-08-20
embedding tensormodel.embed_tokens.weight · BF16 · 262,144×5376
embedding normsmedian 1.1173 · mean 1.117
lineage checkconsistent — cosine 0.9997 over 64 sampled rows vs google/gemma-4-31B-it
Battery runs (3)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-20 18:023m1
weightscomplete2026-08-20 08:102m1
weightscomplete2026-08-20 06:353m1

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Ingot verdict: pass

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