Qwen/WebWorld-14B warn
claims base: Qwen/Qwen3-8B · chat template: present · view on Hugging Face ↗
Scan coverage
Ingot runs three batteries against a model. What each one checks →
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-21 |
| Weights battery | Weights forensics — no GPU, no download | complete 2026-08-21151,936-token embedding scanned · 3136 undertrained · lineage inconsistent |
| Behavioral battery | Live-inference differentials | not run |
Findings
Scanned 2026-08-21 · published from a community scan.
medium Chat template differs from claimed parent
The chat template does not match Qwen/Qwen3-8B's. Template drift silently changes model behavior even when weights are identical — 37% of drifted derivatives in our census left it undisclosed. Diff the templates before deploying.
How to fixingot patch
Restore the parent's chat template in `tokenizer_config.json` — a pure metadata fix.
- Run `ingot patch <owner/model>` — the patch manifest carries the parent's template and applies it to a local copy's `tokenizer_config.json`.
- Or fix by hand: copy the `chat_template` value from the parent repo's `tokenizer_config.json` into this model's, and pin your serving stack to that file.
- If the drift was intentional (the author retrained on a new template), confirm that in the model card before "fixing" it — restoring the parent template on retrained weights changes behavior too.
medium Undertrained (glitch) token surface in vocabulary
Embedding-norm scan flagged 3136 undertrained tokens (norm < 0.3× the vocabulary median of 1.372), including 107 plain-ASCII strings that can appear in ordinary input as identifiers — e.g. "$PostalCodesNL", "PostalCodesNL", "ForCanBeConvertedToF", "ForCanBeConverted", "useRalative", "useRal", "thuisontvangst", "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 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.
- 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.
- 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.
- 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.
medium Weights inconsistent with claimed parent Qwen/Qwen3-8B
This model declares Qwen/Qwen3-8B as its base (relation: unspecified), but its token-embedding geometry is incompatible: 5120-dim embeddings vs the parent's 4096-dim. A finetune cannot change embedding width — the lineage label is wrong or misleading. Treat provenance claims on this repo (training data, safety posture, licensing) as unverified.
How to fix
Fix or verify the `base_model` declaration so lineage checks can run.
- If you own the repo: correct the `base_model` field in the model card metadata to the real, public parent.
- 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 profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-21.
| architecture | qwen3 · 40 layers · 5120-dim |
| parameters | 14768.3M |
| vocabulary | 151,936 tokens |
| license | apache-2.0 |
| serialization | safetensors |
| chat template | present · sha256:87a2728cb8dc9fe4 |
| claimed lineage | Qwen/Qwen3-8B |
| lineage verified | inconsistent vs Qwen/Qwen3-8B |
| glitch-token surface | 3,136 undertrained candidates, 107 plain-ASCII |
Full measured fingerprint
| architectures | Qwen3ForCausalLM |
| library | transformers |
| pipeline | text-generation |
| repo files | 18 |
| revision | 0212f4ed8a4b |
| HF snapshot | 663 downloads · 29 likes · updated 2026-05-08 · captured 2026-08-21 |
| embedding tensor | model.embed_tokens.weight · BF16 · 151,936×5120 |
| embedding norms | median 1.3721 · mean 1.3077 |
| lineage check | inconsistent — cosine undefined over undefined sampled rows vs Qwen/Qwen3-8B |
| glitch-token samples | "$PostalCodesNL", "PostalCodesNL", "ForCanBeConvertedToF", "ForCanBeConverted", "useRalative", "useRal", "thuisontvangst", "sexkontakte", "webElementX", "NdrFc", "sextreffen", "swingerclub" |
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.
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-21 05:13 | 2m | 1 |
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | model.embed_tokens.weight · BF16 · 151,936×5120 |
| glitch surface | 3,136 undertrained, 107 plain-ASCII |
| lineage check | inconsistent — cosine undefined over undefined rows vs Qwen/Qwen3-8B |
Fix it
Some findings are metadata-level and patchable — apply the fixes to your local copy (your weights never leave your machine):
npx @ingotai/scan patch Qwen/WebWorld-14B
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/Qwen/WebWorld-14B)