Qwen/Qwen3-4B pass
No issues found by the checks that have run.
claims base: Qwen/Qwen3-4B-Base · chat template: present · view on Hugging Face ↗
Scan coverageStatic battery2026-08-21Weights battery2026-08-20Behavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-21 |
| Weights battery | Weights forensics: no GPU, no download | complete 2026-08-20151,936-token embedding scanned · 0 undertrained · lineage consistent |
| Behavioral battery | Live-inference differentials | not run |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-21. 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.
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).
info Glitch-token echo probe: no candidate surface
Embedding-norm scan found no undertrained ASCII tokens (threshold 0.3379 vs vocab median 1.1262), so the glitch-token data-corruption class has nothing to trigger on. Echo probe not applicable.
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
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Fingerprint
The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and 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 measured 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 |
Battery runs (3)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| gpu | complete | 2026-08-21 08:06 | 40s | 1 |
| weights | complete | 2026-08-20 18:02 | 43s | 1 |
| weights | complete | 2026-08-20 08:10 | 36s | 1 |
gpu run 2026-08-21 — measurements
| probes run | glitch |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/Qwen/Qwen3-4B)