Model page

kmseong/llama2_7b-chat-Safety-FT-lr5e-5 warn

downloads 429likes 0license llama3.2arch llamaparams 6738.4Mupdated 2026-04-20

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 2026-08-2132,000-token embedding scanned · 132 undertrained
Behavioral batteryLive-inference differentialsnot run

Findings

Scanned 2026-08-21 · published from a community scan.

medium Undertrained (glitch) token surface in vocabulary

Embedding-norm scan flagged 132 undertrained tokens (norm < 0.3× the vocabulary median of 1.091), including 14 plain-ASCII strings that can appear in ordinary input as identifiers — e.g. "<0xFE>", "<0xFF>", "<0xFB>", "<0xFC>", "<0xFD>", "<0xFA>", "Mediabestanden", "oreferrer". In models where this class was tested behaviorally, such tokens silently rewrote user input into confident, schema-valid, wrong output. These are candidates from the weights alone; behavioral confirmation requires the behavioral battery.

How to fixruntime guardweight-level

Keep the affected token strings out of the model's input — the scan-derived runtime guard carries this model's exact blocklist.

  1. Fetch this model's guard artifact (`/api/v1/guard/<owner>/<model>`): the confirmed corrupting tokens and the low-norm candidate list, derived from the published scan.
  2. Screen inbound text with it (the `@ingotai/guard` package is a reference implementation) and route flagged records to a different model or human review — verbatim-copy tasks on flagged strings are the failure mode.
  3. The underlying cause is undertrained embeddings in the weights; a true fix is weight-level (continued pretraining on the affected tokens) — that is not a patch, it's a training job.

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 · 32 layers · 4096-dim
parameters6738.4M
vocabulary32,000 tokens
licensellama3.2
serializationsafetensors
chat templatenone
claimed lineagemeta-llama/Llama-3.2-3B-Instruct
lineage verifiedunverified — weights battery pending
glitch-token surface132 undertrained candidates, 14 plain-ASCII
Full measured fingerprint
architecturesLlamaForCausalLM
repo files13
revisionc4cac2bc0cff
HF snapshot455 downloads · 0 likes · updated 2026-04-20 · captured 2026-08-21
embedding tensormodel.embed_tokens.weight · BF16 · 32,000×4096
embedding normsmedian 1.0909 · mean 1.0708
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))
glitch-token samples"<0xFE>", "<0xFF>", "<0xFB>", "<0xFC>", "<0xFD>", "<0xFA>", "Mediabestanden", "oreferrer", "Normdaten", "ITableView", "regnig", "demsel"

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 05:313m1
weights run 2026-08-21 measurements
probes runglitch-norm-scan, lineage-norm-correlation
embedding tensormodel.embed_tokens.weight · BF16 · 32,000×4096
glitch surface132 undertrained, 14 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: warn

[![Ingot scan](https://ingot.tools/api/v1/models/kmseong/llama2_7b-chat-Safety-FT-lr5e-5/badge.svg)](https://ingot.tools/models/kmseong/llama2_7b-chat-Safety-FT-lr5e-5)
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