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Qwen/Qwen3-8B warn

downloads 15.7Mlikes 1.3klicense apache-2.0arch qwen3params 8190.7Mupdated 2025-07-26

claims base: Qwen/Qwen3-8B-Base · chat template: present · view on Hugging Face ↗

Ingot findings

Base model used as census parent; the risk surface is its derivative ecosystem. Weights battery: embedding-norm scan over 151936 tokens (BF16, 4096-dim) found 2999 undertrained candidates, 102 plain-ASCII. Lineage vs Qwen/Qwen3-8B-Base: consistent. Scanned 2026-08-20 (published from a community scan). Full write-up: read the report.

info Derivative ecosystem drift

Across the most-downloaded community derivatives of this model, 56% ship a different chat template than the parent (37% undisclosed), and 78% of pure quantization re-releases changed or dropped the template.

How to fix

Informational — applies to the model's derivative ecosystem, not this checkpoint.

  1. When choosing a derivative, scan the derivative itself; parent verdicts do not transfer.

info Small weight delta ≠ small behavior delta

The derivative with the smallest measured weight change removed the most safety: harmful-request refusal fell 100% → 5% with zero capability loss. Weight-size scans cannot substitute for behavioral differentials.

How to fix

Informational — applies to the model's derivative ecosystem, not this checkpoint.

  1. When choosing a derivative, scan the derivative itself; parent verdicts do not transfer.

medium Undertrained (glitch) token surface in vocabulary

Embedding-norm scan flagged 2999 undertrained tokens (norm < 0.3× the vocabulary median of 1.451), including 102 plain-ASCII strings that can appear in ordinary input as identifiers — e.g. "$PostalCodesNL", "ForCanBeConvertedToF", "PostalCodesNL", "ForCanBeConverted", "useRalative", "thuisontvangst", "useRal", "sexkontakte". 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 GPU deep 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.

info Weights consistent with claimed parent Qwen/Qwen3-8B-Base

Mean cosine similarity of 64 sampled token-embedding rows against Qwen/Qwen3-8B-Base is 0.998 — the weights plausibly descend from the declared base (relation: unspecified).

How to fix

Fix or verify the `base_model` declaration so lineage checks can run.

  1. If you own the repo: correct the `base_model` field in the model card metadata to the real, public parent.
  2. If you don't: identify the true parent (config architecture + weight shapes narrow it fast) and re-scan with that lineage in mind.

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

Fingerprint

The durable weights-and-metadata profile of this model, rebuilt on every scan and deep-battery run. Updated 2026-08-20.

architectureqwen3 · 36 layers · 4096-dim
parameters8190.7M
vocabulary151,936 tokens
licenseapache-2.0
serializationsafetensors
chat templatepresent · sha256:a55ee1b1660128b7
claimed lineageQwen/Qwen3-8B-Base
lineage verifiedconsistent vs Qwen/Qwen3-8B-Base — embedding-row cosine 0.998
glitch-token surface2,999 undertrained candidates, 102 plain-ASCII
Full fingerprint
architecturesQwen3ForCausalLM
librarytransformers
pipelinetext-generation
repo files15
revisionb968826d9c46
HF snapshot15.7M downloads · 1.3k likes · updated 2025-07-26 · captured 2026-08-20
embedding tensormodel.embed_tokens.weight · BF16 · 151,936×4096
embedding normsmedian 1.4512 · mean 1.3758
lineage checkconsistent — cosine 0.9979 over 64 sampled rows vs Qwen/Qwen3-8B-Base
glitch-token samples"$PostalCodesNL", "ForCanBeConvertedToF", "PostalCodesNL", "ForCanBeConverted", "useRalative", "thuisontvangst", "useRal", "sexkontakte", "NdrFc", "webElementX", "sextreffen", "wannonce"

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/Qwen/Qwen3-8B/badge.svg)](https://ingot.tools/models/Qwen/Qwen3-8B)
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