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solidrust/gemma-2-9b-it-AWQ warn

No license declared — no usage rights by default.

downloads 322likes 1license none declaredarch gemma2params 10159.2Mupdated 2024-09-03

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.

medium No license declared

The model card declares no license. You have no usage rights by default — treat as all-rights-reserved until the owner clarifies.

How to fix

Get a license from the owner or pick a licensed alternative — this is a legal gap, not a technical one.

  1. With no declared license you have no usage rights by default; treat the weights as all-rights-reserved.
  2. Open an issue or discussion on the repo asking the owner to declare a license, or use the licensed upstream/parent model instead.

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
parameters10159.2M
vocabulary256,000 tokens
licensenone declared
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 files11
revisionbdd80d4a3ae8
HF snapshot1.3k downloads · 1 likes · updated 2024-09-03 · captured 2026-08-21
embedding tensormodel.embed_tokens.weight · F16 · 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 05:123m1
weights run 2026-08-21 — measurements
probes runglitch-norm-scan, lineage-norm-correlation
embedding tensormodel.embed_tokens.weight · F16 · 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: warn

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