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RedHatAI/Llama-3.2-1B-Instruct-FP8-dynamic pass

No issues found by the checks that have run.

downloads 241.5klikes 4license llama3.2arch llamaparams 1498.9Mupdated 2024-10-09

claims base: meta-llama/Llama-3.2-1B-Instruct · chat template: present · view on Hugging Face ↗

Scan coverageStatic battery2026-08-22Weights battery2026-08-22Behavioral batterynot rundetails
BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-22
Weights batteryWeights forensics: no GPU, no downloadcomplete 2026-08-22128,256-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 2026-08-22 · 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 (0.933). The glitch-token data-corruption class has no candidate surface in this model.

info Weights consistent with claimed parent meta-llama/Llama-3.2-1B-Instruct

Mean cosine similarity of 64 sampled token-embedding rows against meta-llama/Llama-3.2-1B-Instruct 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 2026-08-22.

architecturellama · 16 layers · 2048-dim
parameters1498.9M
vocabulary128,256 tokens
licensellama3.2
serializationsafetensors
chat templatepresent · sha256:5816fce10444e03c
claimed lineagemeta-llama/Llama-3.2-1B-Instruct
lineage verifiedconsistent vs meta-llama/Llama-3.2-1B-Instruct — embedding-row cosine 1.000
glitch-token surfaceclean no undertrained tokens
Full measured fingerprint
architecturesLlamaForCausalLM
pipelinetext-generation
repo files9
revisione23d444f8d7d
HF snapshot761.9k downloads · 4 likes · updated 2024-10-09 · captured 2026-08-21
embedding tensormodel.embed_tokens.weight · BF16 · 128,256×2048
embedding normsmedian 0.9333 · mean 0.9298
lineage checkconsistent — cosine 1 over 64 sampled rows vs meta-llama/Llama-3.2-1B-Instruct
Battery runs (1)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-21 07:4332s1
weights run 2026-08-21 — measurements
probes runglitch-norm-scan, lineage-norm-correlation
embedding tensormodel.embed_tokens.weight · BF16 · 128,256×2048
glitch surface0 undertrained, 0 plain-ASCII
lineage checkconsistent — cosine 1 over 64 rows vs meta-llama/Llama-3.2-1B-Instruct

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Ingot verdict: pass

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