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nyu-visionx/Cambrian-S-7B pass

No major issues. Minor: a small glitch-token surface (non-English text only).

downloads 794likes 5license apache-2.0arch cambrian_qwenparams 8030.3Mupdated 2025-11-07

claims base: Qwen/Qwen2.5-7B-Instruct · chat template: present · view on Hugging Face ↗

Scan coverageStatic battery2026-08-21Weights battery2026-08-21Behavioral batterynot rundetails
BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-21
Weights batteryWeights forensics: no GPU, no downloadcomplete 2026-08-21152,064-token embedding scanned · 7366 undertrained · lineage consistent
Behavioral batteryLive-inference differentialsnot run

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

Findings

Scanned 2026-08-21 · published from a community scan.

low Undertrained tokens in vocabulary (non-ASCII tail)

Embedding-norm scan flagged 7366 undertrained tokens (norm < 0.3× the vocabulary median), but 0 decode to plain-ASCII strings, so exposure in English-language pipelines is limited. Behavioral confirmation requires the behavioral battery.

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.

  1. 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.
  2. 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.
  3. 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/Qwen2.5-7B-Instruct

Mean cosine similarity of 64 sampled token-embedding rows against Qwen/Qwen2.5-7B-Instruct is 0.998 — the weights plausibly descend from the declared base (relation: unspecified).

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 2026-08-21.

architecturecambrian_qwen · 28 layers · 3584-dim
parameters8030.3M
vocabulary152,064 tokens
licenseapache-2.0
serializationsafetensors
chat templatepresent · sha256:cd8e9439f0570856
claimed lineageQwen/Qwen2.5-7B-Instruct
lineage verifiedconsistent vs Qwen/Qwen2.5-7B-Instruct — embedding-row cosine 0.998
glitch-token surface7,366 undertrained candidates, 0 plain-ASCII
Full measured fingerprint
architecturesCambrianQwenForCausalLM
librarytransformers
pipelineimage-to-text
repo files17
revision556e72fded09
HF snapshot1.7k downloads · 5 likes · updated 2025-11-07 · captured 2026-08-21
embedding tensormodel.embed_tokens.weight · F32 · 152,064×3584
embedding normsmedian 0.8604 · mean 0.7921
lineage checkconsistent — cosine 0.9984 over 64 sampled rows vs Qwen/Qwen2.5-7B-Instruct
Battery runs (1)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-21 05:123m1
weights run 2026-08-21 — measurements
probes runglitch-norm-scan, lineage-norm-correlation
probes skippedtoken-decode: no tokenizer.json
embedding tensormodel.embed_tokens.weight · F32 · 152,064×3584
glitch surface7,366 undertrained, 0 plain-ASCII
lineage checkconsistent — cosine 0.9984 over 64 rows vs Qwen/Qwen2.5-7B-Instruct

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Ingot verdict: pass

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