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RedHatAI/gemma-2-9b-it-FP8 pass

No issues found by the checks that have run.

downloads 9.4klikes 5license gemmaarch gemma2params 9241.7Mupdated 2026-06-09

claims base: google/gemma-2-9b-it · chat template: present · view on Hugging Face ↗

Scan coverageStatic battery2026-08-21Weights battery2026-08-21Behavioral batterynot rundetails
BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-21
Weights batteryWeights forensics: no GPU, no downloadcomplete 2026-08-21256,000-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 2026-08-21 · 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 (1.701). The glitch-token data-corruption class has no candidate surface in this model.

info Weights consistent with claimed parent google/gemma-2-9b-it

Mean cosine similarity of 64 sampled token-embedding rows against google/gemma-2-9b-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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Fingerprint

The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-21.

architecturegemma2 · 42 layers · 3584-dim
parameters9241.7M
vocabulary256,000 tokens
licensegemma
serializationsafetensors
chat templatepresent · sha256:ecd6ae513fe103f0
claimed lineagegoogle/gemma-2-9b-it
lineage verifiedconsistent vs google/gemma-2-9b-it — embedding-row cosine 1.000
glitch-token surfaceclean no undertrained tokens
Full measured fingerprint
architecturesGemma2ForCausalLM
librarytransformers
pipelinetext-generation
repo files12
revision702a3fb558bc
HF snapshot510 downloads · 5 likes · updated 2026-06-09 · captured 2026-08-21
embedding tensormodel.embed_tokens.weight · BF16 · 256,000×3584
embedding normsmedian 1.701 · mean 1.7215
lineage checkconsistent — cosine 1 over 64 sampled rows vs google/gemma-2-9b-it
Battery runs (1)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-21 05:1470s1
weights run 2026-08-21 — measurements
probes runglitch-norm-scan, lineage-norm-correlation
embedding tensormodel.embed_tokens.weight · BF16 · 256,000×3584
glitch surface0 undertrained, 0 plain-ASCII
lineage checkconsistent — cosine 1 over 64 rows vs google/gemma-2-9b-it

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Ingot verdict: pass

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