Model page

Qwen/Qwen3-VL-4B-Instruct pass

downloads 4.0Mlikes 447license apache-2.0arch qwen3_vlparams 4437.8Mupdated 2025-10-15

chat template: present · view on Hugging Face ↗

Scan coverage

Ingot runs three batteries against a model. What each one checks →

BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-22
Weights batteryWeights forensics — no GPU, no downloadcomplete 2026-08-22151,936-token embedding scanned · 0 undertrained
Behavioral batteryLive-inference differentialsnot 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 (1.105). The glitch-token data-corruption class has no candidate surface in this model.

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.

architectureqwen3_vl
parameters4437.8M
vocabulary151,936 tokens
licenseapache-2.0
serializationsafetensors
chat templatepresent · sha256:3636d0f0bd6bef02
glitch-token surfaceclean no undertrained tokens
Full measured fingerprint
architecturesQwen3VLForConditionalGeneration
librarytransformers
pipelineimage-text-to-text
repo files14
revisionebb281ec70b0
HF snapshot4.0M downloads · 447 likes · updated 2025-10-15 · captured 2026-08-21
embedding tensormodel.language_model.embed_tokens.weight · BF16 · 151,936×2560
embedding normsmedian 1.1052 · mean 1.0795
lineage checkno claimed base model

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.

batterystatusqueueddurationattempts
weightscomplete2026-08-21 07:4218s1
weights run 2026-08-21 measurements
probes runglitch-norm-scan, lineage-norm-correlation
embedding tensormodel.language_model.embed_tokens.weight · BF16 · 151,936×2560
glitch surface0 undertrained, 0 plain-ASCII
lineage checknot checked (no claimed base model)

Verdict badge

Ship the verdict in your README — it always shows the latest published analysis:

Ingot verdict: pass

[![Ingot scan](https://ingot.tools/api/v1/models/Qwen/Qwen3-VL-4B-Instruct/badge.svg)](https://ingot.tools/models/Qwen/Qwen3-VL-4B-Instruct)
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