Qwen/Qwen3-4B pass
claims base: Qwen/Qwen3-4B-Base · chat template: present · view on Hugging Face ↗
Ingot findings
Census parent model — see the derivative-drift report. Weights battery: embedding-norm scan over 151936 tokens (BF16, 2560-dim) found 0 undertrained candidates, 0 plain-ASCII. Lineage vs Qwen/Qwen3-4B-Base: consistent. Scanned 2026-08-20 (published from a community scan). Full write-up: read the report.
info Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (1.126). The glitch-token data-corruption class has no candidate surface in this model.
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.
info Weights consistent with claimed parent Qwen/Qwen3-4B-Base
Mean cosine similarity of 64 sampled token-embedding rows against Qwen/Qwen3-4B-Base is 0.994 — 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.
- 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 weights-and-metadata profile of this model, rebuilt on every scan and deep-battery run. Updated 2026-08-20.
| architecture | qwen3 · 36 layers · 2560-dim |
| parameters | 4022.5M |
| vocabulary | 151,936 tokens |
| license | apache-2.0 |
| serialization | safetensors |
| chat template | present · sha256:a55ee1b1660128b7 |
| claimed lineage | Qwen/Qwen3-4B-Base |
| lineage verified | consistent vs Qwen/Qwen3-4B-Base — embedding-row cosine 0.994 |
| glitch-token surface | clean no undertrained tokens |
Full fingerprint
| architectures | Qwen3ForCausalLM |
| library | transformers |
| pipeline | text-generation |
| repo files | 13 |
| revision | 1cfa9a720891 |
| HF snapshot | 4.9M downloads · 684 likes · updated 2025-07-26 · captured 2026-08-20 |
| embedding tensor | model.embed_tokens.weight · BF16 · 151,936×2560 |
| embedding norms | median 1.1262 · mean 1.0974 |
| lineage check | consistent — cosine 0.994 over 64 sampled rows vs Qwen/Qwen3-4B-Base |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/Qwen/Qwen3-4B)