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OBLITERATUS/Qwen3.8-27B-OBLITERATED warn

The chat template differs from its base model, which changes behavior.

downloads 389.7klikes 742license apache-2.0arch qwen3_5params 27781.4Mupdated 2026-08-24

claims base: Qwen/Qwen3.8-27B · chat template: present · view on Hugging Face ↗

Scan coverageStatic battery2026-08-25Weights battery2026-08-25Behavioral batterynot rundetails
BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-25
Weights batteryWeights forensics — no GPU, no downloadcomplete 2026-08-25248,320-token embedding scanned · 1620 undertrained · lineage consistent
Behavioral batteryLive-inference differentialsnot run

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

Findings

Scanned 2026-08-25 · published from a community scan.

medium Chat template differs from claimed parent

The chat template does not match Qwen/Qwen3.8-27B'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.

  1. Run `ingot patch <owner/model>` — the patch manifest carries the parent's template and applies it to a local copy's `tokenizer_config.json`.
  2. 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.
  3. 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.

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 OBLITERATUS/Qwen3.8-27B-OBLITERATED

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 2026-08-25.

architectureqwen3_5
parameters27781.4M
vocabulary248,320 tokens
licenseapache-2.0
serializationsafetensors + gguf
chat templatepresent (chat_template.jinja) · sha256:4c2b3eabcdd87d5f
claimed lineageQwen/Qwen3.8-27B
lineage verifiedconsistent vs Qwen/Qwen3.8-27B — embedding-row cosine 1.000
glitch-token surface1,620 undertrained candidates, 410 plain-ASCII
Full measured fingerprint
architecturesQwen3_5ForConditionalGeneration
librarymlx
pipelinetext-generation
repo files70
revisiona58c3b53b3ce
HF snapshot389.7k downloads · 742 likes · updated 2026-08-24 · captured 2026-08-25
embedding tensormodel.language_model.embed_tokens.weight · BF16 · 248,320×5120
embedding normsmedian 0.9288 · mean 0.8991
lineage checkconsistent — cosine 1 over 64 sampled rows vs Qwen/Qwen3.8-27B
glitch-token samples"szexf", "tedothi", "ForCanBeConvertedToF", "ForCanBeConverted", "Kinhted", "tarsker", "PostalCodesNL", "useRalative", "ejahter", "tarskereso", "useRal", "Purtro"
Battery runs (1)the run trace behind the findings — what each job measured
batterystatusqueueddurationattempts
weightscomplete2026-08-25 19:003m1
weights run 2026-08-25 measurements
probes runglitch-norm-scan, lineage-norm-correlation
embedding tensormodel.language_model.embed_tokens.weight · BF16 · 248,320×5120
glitch surface1,620 undertrained, 410 plain-ASCII
lineage checkconsistent — cosine 1 over 64 rows vs Qwen/Qwen3.8-27B

Verdict badge

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Ingot verdict: warn

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