Qwen/Qwen2-VL-2B-Instruct warn
The chat template differs from its base model, which changes behavior.
claims base: Qwen/Qwen2-VL-2B · chat template: present · view on Hugging Face ↗
Scan coverageStatic battery2026-08-22Weights battery2026-08-22Behavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-22 |
| Weights battery | Weights forensics: no GPU, no download | complete 2026-08-22151,936-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 2026-08-22 · published from a community scan.
medium Chat template differs from claimed parent
The chat template does not match Qwen/Qwen2-VL-2B'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.
info Embedding-norm glitch scan clean
No undertrained tokens found: every non-special token's embedding norm is above 0.3× the vocabulary median (0.600). The glitch-token data-corruption class has no candidate surface in this model.
info Weights consistent with claimed parent Qwen/Qwen2-VL-2B
Mean cosine similarity of 64 sampled token-embedding rows against Qwen/Qwen2-VL-2B is 0.999 — the weights plausibly descend from the declared base (relation: unspecified).
Check every checkpoint before it ships
Use the web app, API, CLI, or CI gate to scan candidate checkpoints and catch model drift before deployment. Public-model scans publish to the open database; paid plans add the volume needed for continuous checks.
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/Qwen2-VL-2B-Instruct
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 | qwen2_vl · 28 layers · 1536-dim |
| parameters | 2209.0M |
| vocabulary | 151,936 tokens |
| license | apache-2.0 |
| serialization | safetensors |
| chat template | present · sha256:a0bc6f6fc7a29a80 |
| claimed lineage | Qwen/Qwen2-VL-2B |
| lineage verified | consistent vs Qwen/Qwen2-VL-2B — embedding-row cosine 0.999 |
| glitch-token surface | clean no undertrained tokens |
Full measured fingerprint
| architectures | Qwen2VLForConditionalGeneration |
| library | transformers |
| pipeline | image-text-to-text |
| repo files | 14 |
| revision | 895c3a49bc3f |
| HF snapshot | 2.1M downloads · 518 likes · updated 2025-01-12 · captured 2026-08-21 |
| embedding tensor | model.embed_tokens.weight · BF16 · 151,936×1536 |
| embedding norms | median 0.5998 · mean 0.6036 |
| lineage check | consistent — cosine 0.9988 over 64 sampled rows vs Qwen/Qwen2-VL-2B |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-21 07:42 | 32s | 1 |
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | model.embed_tokens.weight · BF16 · 151,936×1536 |
| glitch surface | 0 undertrained, 0 plain-ASCII |
| lineage check | consistent — cosine 0.9988 over 64 rows vs Qwen/Qwen2-VL-2B |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/Qwen/Qwen2-VL-2B-Instruct)