Qwen/Qwen3.5-2B pass
claims base: Qwen/Qwen3.5-2B-Base · 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 2026-08-22 |
| Weights battery | Weights forensics — no GPU, no download | complete 2026-08-22248,320-token embedding scanned · 0 undertrained · lineage consistent |
| Behavioral battery | Live-inference differentials | not run |
Findings
Scanned 2026-08-22 · published from a community scan.
info Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (0.671). The glitch-token data-corruption class has no candidate surface in this model.
info Weights consistent with claimed parent Qwen/Qwen3.5-2B-Base
Mean cosine similarity of 64 sampled token-embedding rows against Qwen/Qwen3.5-2B-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.
- 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 2026-08-22.
| architecture | qwen3_5 |
| parameters | 2274.1M |
| vocabulary | 248,320 tokens |
| license | apache-2.0 |
| serialization | safetensors |
| chat template | present · sha256:273d8e0e683b8850 |
| claimed lineage | Qwen/Qwen3.5-2B-Base |
| lineage verified | consistent vs Qwen/Qwen3.5-2B-Base — embedding-row cosine 0.998 |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | Qwen3_5ForConditionalGeneration |
| library | transformers |
| pipeline | image-text-to-text |
| repo files | 13 |
| revision | 15852e8c1636 |
| HF snapshot | 3.1M downloads · 370 likes · updated 2026-03-02 · captured 2026-08-21 |
| embedding tensor | model.language_model.embed_tokens.weight · BF16 · 248,320×2048 |
| embedding norms | median 0.671 · mean 0.6757 |
| lineage check | consistent — cosine 0.9984 over 64 sampled rows vs Qwen/Qwen3.5-2B-Base |
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 07:42 | 47s | 1 |
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | model.language_model.embed_tokens.weight · BF16 · 248,320×2048 |
| glitch surface | 0 undertrained, 0 plain-ASCII |
| lineage check | consistent — cosine 0.9984 over 64 rows vs Qwen/Qwen3.5-2B-Base |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/Qwen/Qwen3.5-2B)