Model page

lapisrocks/Llama-3-8B-Instruct-TAR-Bio-v2 warn

Its license differs from its base model's. Plus 1 minor note.

downloads 69likes 0license apache-2.0arch llamaparams 8030.3Mupdated 2024-10-14

claims base: meta-llama/Meta-Llama-3-8B-Instruct · chat template: not found · 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 2026-08-21128,256-token embedding scanned · 715 undertrained
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 License differs from claimed parent (apache-2.0 vs llama3)

This model declares apache-2.0 while its claimed base meta-llama/Meta-Llama-3-8B-Instruct declares llama3. Verify the re-license is permitted before commercial use.

How to fix

Verify the re-license is actually permitted before relying on it.

  1. Read the parent's license for derivative-work and re-licensing terms — many open-weight licenses (e.g. Llama-family) do not permit arbitrary re-licensing.
  2. If the re-license is not permitted, the parent's terms govern your use regardless of what this repo declares.

low Undertrained tokens in vocabulary (non-ASCII tail)

Embedding-norm scan flagged 715 undertrained tokens (norm < 0.3× the vocabulary median), but 0 decode to plain-ASCII strings, so exposure in English-language pipelines is limited. 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.

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
parameters8030.3M
vocabulary128,256 tokens
licenseapache-2.0
serializationsafetensors
chat templatenone
claimed lineagemeta-llama/Meta-Llama-3-8B-Instruct
lineage verifiedunverified — weights battery pending
glitch-token surface715 undertrained candidates, 0 plain-ASCII
Full measured fingerprint
architecturesLlamaForCausalLM
repo files12
revision143c907d0ffa
HF snapshot538 downloads · 0 likes · updated 2024-10-14 · captured 2026-08-21
embedding tensormodel.embed_tokens.weight · F32 · 128,256×4096
embedding normsmedian 0.6015 · mean 0.5915
lineage checkparent weights unreadable (403 Forbidden for https://huggingface.co/meta-llama/Meta-Llama-3-8B-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 (1)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-21 05:142m1
weights run 2026-08-21 — measurements
probes runglitch-norm-scan, lineage-norm-correlation
probes skippedtoken-decode: no tokenizer.json
embedding tensormodel.embed_tokens.weight · F32 · 128,256×4096
glitch surface715 undertrained, 0 plain-ASCII
lineage checknot checked (parent weights unreadable (403 Forbidden for https://huggingface.co/meta-llama/Meta-Llama-3-8B-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/lapisrocks/Llama-3-8B-Instruct-TAR-Bio-v2/badge.svg)](https://ingot.tools/models/lapisrocks/Llama-3-8B-Instruct-TAR-Bio-v2)
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