Model page

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

Glitch tokens that can silently corrupt ordinary input. Plus 1 minor note.

downloads 104likes 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 coverageStatic battery2026-08-27Weights battery2026-08-21Behavioral batterycompletedetails
BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-27
Weights batteryWeights forensics: no GPU, no downloadcomplete 2026-08-2132,000-token embedding scanned · 132 undertrained
Behavioral batteryLive-inference differentialscompletefull differential battery (curated)

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

Findings

Scanned 2026-08-27 · 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.

low Partial glitch-token echo degradation

Echo failures on 5/8 undertrained tokens vs 4/8 controls — a differential exists but below the confirmation bar (≥50% glitch failures with clean controls).

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

Put this result in your workflow

Check every checkpoint before it ships

Use the web app, API, CLI, or CI gate to scan candidate checkpoints and catch model drift before deployment. Public-model scans publish to the open database; paid plans add the volume needed for continuous checks.

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 (2)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
gpucomplete2026-08-27 08:214m1
weightscomplete2026-08-21 05:313m1
gpu run 2026-08-27 — measurements
probes runglitch
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)
Gate it in CI