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shisa-ai/shisa-v2.1-llama3.2-3b pass

downloads 218likes 3license llama3.2arch llamaparams 175.1kupdated 2025-12-08

claims base: meta-llama/Llama-3.2-3B-Instruct · chat template: present · view on Hugging Face ↗

Scan coverage

Ingot runs three batteries against a model. What each one checks →

BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-21
Weights batteryWeights forensics — no GPU, no downloadcomplete 2026-08-21128,256-token embedding scanned · 0 undertrained
Behavioral batteryLive-inference differentialsnot run

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

Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.

Fingerprint

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

architecturellama · 28 layers · 3072-dim
parameters175.1k
vocabulary128,256 tokens
licensellama3.2
serializationsafetensors pickle
chat templatenone
claimed lineagemeta-llama/Llama-3.2-3B-Instruct
lineage verifiedunverified — weights battery pending
glitch-token surfaceclean no undertrained tokens
Full measured fingerprint
architecturesLlamaForCausalLM
pipelinetext-generation
repo files13 — pickle: training_args.bin
revision5f4f59bbe658
HF snapshot218 downloads · 3 likes · updated 2025-12-08 · captured 2026-08-21
embedding tensormodel.embed_tokens.weight · BF16 · 128,256×3072
embedding normsmedian 1.0685 · mean 1.0648
lineage checkparent weights unreadable (403 Forbidden for https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct/resolve/main/model.safetensors.index.json (gated repo — the HF_TOKEN account has not accepted this repo's license, or the token lacks gated-repo read scope))

Battery runs

The run trace behind the findings above: every deep-battery job for this model, with what each run measured or why it failed. Findings are only as good as the runs that produced them.

batterystatusqueueddurationattempts
weightscomplete2026-08-21 05:1744s1
weights run 2026-08-21 measurements
probes runglitch-norm-scan, lineage-norm-correlation
embedding tensormodel.embed_tokens.weight · BF16 · 128,256×3072
glitch surface0 undertrained, 0 plain-ASCII
lineage checknot checked (parent weights unreadable (403 Forbidden for https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct/resolve/main/model.safetensors.index.json (gated repo — the HF_TOKEN account has not accepted this repo's license, or the token lacks gated-repo read scope)))

Verdict badge

Ship the verdict in your README — it always shows the latest published analysis:

Ingot verdict: pass

[![Ingot scan](https://ingot.tools/api/v1/models/shisa-ai/shisa-v2.1-llama3.2-3b/badge.svg)](https://ingot.tools/models/shisa-ai/shisa-v2.1-llama3.2-3b)
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