mrcuddle/arcee-fusion-lumaid-12B warn
No license declared — no usage rights by default; glitch tokens that can silently corrupt ordinary input. Plus 1 minor note.
claims base: mistralai/Mistral-Nemo-Instruct-2407, NeverSleep/Lumimaid-v0.2-12B · chat template: present · view on Hugging Face ↗
Scan coverageStatic battery2026-08-27Weights battery2026-08-21Behavioral batterycompletedetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-27 |
| Weights battery | Weights forensics: no GPU, no download | complete 2026-08-21131,072-token embedding scanned · 144 undertrained · lineage consistent |
| Behavioral battery | Live-inference differentials | completefull differential battery (curated) |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-27 · published from a community scan.
medium No license declared
The model card declares no license. You have no usage rights by default — treat as all-rights-reserved until the owner clarifies.
How to fix
Get a license from the owner or pick a licensed alternative — this is a legal gap, not a technical one.
- With no declared license you have no usage rights by default; treat the weights as all-rights-reserved.
- Open an issue or discussion on the repo asking the owner to declare a license, or use the licensed upstream/parent model instead.
medium Undertrained (glitch) token surface in vocabulary
Embedding-norm scan flagged 144 undertrained tokens (norm < 0.3× the vocabulary median of 0.624), including 25 plain-ASCII strings that can appear in ordinary input as identifiers — e.g. "erresident", "abezian", "komert", "higiez", "pemerint", "banako", "komertzio", "tanleria". In models where this class was tested behaviorally, such tokens silently rewrote user input into confident, schema-valid, wrong output. These are candidates from the weights alone; 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.
- 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.
- 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.
- 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 mistralai/Mistral-Nemo-Instruct-2407
Mean cosine similarity of 64 sampled token-embedding rows against mistralai/Mistral-Nemo-Instruct-2407 is 1.000 — the weights plausibly descend from the declared base (relation: unspecified).
low Partial glitch-token echo degradation
Echo failures on 6/16 undertrained tokens vs 0/8 controls — a differential exists but below the confirmation bar (≥50% glitch failures with clean controls).
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.
| architecture | mistral · 40 layers · 5120-dim |
| parameters | 12247.8M |
| vocabulary | 131,072 tokens |
| license | none declared |
| serialization | safetensors |
| chat template | present · sha256:e4676cb56dffea77 |
| claimed lineage | mistralai/Mistral-Nemo-Instruct-2407, NeverSleep/Lumimaid-v0.2-12B |
| lineage verified | consistent vs mistralai/Mistral-Nemo-Instruct-2407 — embedding-row cosine 1.000 |
| glitch-token surface | 144 undertrained candidates, 25 plain-ASCII |
Full measured fingerprint
| architectures | MistralForCausalLM |
| library | transformers |
| pipeline | text-generation |
| repo files | 21 |
| revision | e1df51795676 |
| HF snapshot | 566 downloads · 1 likes · updated 2026-07-08 · captured 2026-08-21 |
| embedding tensor | model.embed_tokens.weight · F32 · 131,072×5120 |
| embedding norms | median 0.6244 · mean 0.6009 |
| lineage check | consistent — cosine 0.9998 over 64 sampled rows vs mistralai/Mistral-Nemo-Instruct-2407 |
| glitch-token samples | "erresident", "abezian", "komert", "higiez", "pemerint", "banako", "komertzio", "tanleria", "igelts", "miejs", "-usti", "zimendu" |
Battery runs (2)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| gpu | complete | 2026-08-27 04:31 | 3m | 1 |
| weights | complete | 2026-08-21 05:14 | 11m | 1 |
gpu run 2026-08-27 — measurements
| probes run | glitch |
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | model.embed_tokens.weight · F32 · 131,072×5120 |
| glitch surface | 144 undertrained, 25 plain-ASCII |
| lineage check | consistent — cosine 0.9998 over 64 rows vs mistralai/Mistral-Nemo-Instruct-2407 |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/mrcuddle/arcee-fusion-lumaid-12B)