c4tdr0ut/grok-oss-7B warn
Its license differs from its base model's; glitch tokens that can silently corrupt ordinary input.
claims base: mistralai/Mistral-7B-Instruct-v0.3 · chat template: present · view on Hugging Face ↗
Scan coverageStatic battery2026-08-21Weights battery2026-08-21Behavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-21 |
| Weights battery | Weights forensics: no GPU, no download | complete 2026-08-2132,768-token embedding scanned · 194 undertrained · lineage consistent |
| Behavioral battery | Live-inference differentials | not run |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-21 · published from a community scan.
medium License differs from claimed parent (other vs apache-2.0)
This model declares other while its claimed base mistralai/Mistral-7B-Instruct-v0.3 declares apache-2.0. Verify the re-license is permitted before commercial use.
How to fix
Verify the re-license is actually permitted before relying on it.
- Read the parent's license for derivative-work and re-licensing terms — many open-weight licenses (e.g. Llama-family) do not permit arbitrary re-licensing.
- If the re-license is not permitted, the parent's terms govern your use regardless of what this repo declares.
medium Undertrained (glitch) token surface in vocabulary
Embedding-norm scan flagged 194 undertrained tokens (norm < 0.3× the vocabulary median of 0.174), including 10 plain-ASCII strings that can appear in ordinary input as identifiers — e.g. "<0xFB>", "<0xFD>", "<0xFF>", "<0xFA>", "<0xFC>", "<0xFE>", "iNdEx", "febbra". 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-7B-Instruct-v0.3
Mean cosine similarity of 64 sampled token-embedding rows against mistralai/Mistral-7B-Instruct-v0.3 is 1.000 — 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.
Check every checkpoint before it ships
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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 · 32 layers · 4096-dim |
| parameters | 7248.0M |
| vocabulary | 32,768 tokens |
| license | other |
| serialization | safetensors + gguf |
| chat template | present · sha256:e16746b40344d6c5 |
| claimed lineage | mistralai/Mistral-7B-Instruct-v0.3 |
| lineage verified | consistent vs mistralai/Mistral-7B-Instruct-v0.3 — embedding-row cosine 1.000 |
| glitch-token surface | 194 undertrained candidates, 10 plain-ASCII |
Full measured fingerprint
| architectures | MistralForCausalLM |
| library | transformers |
| pipeline | text-generation |
| repo files | 14 |
| revision | 860c33cca1db |
| HF snapshot | 566 downloads · 2 likes · updated 2026-03-27 · captured 2026-08-21 |
| embedding tensor | model.embed_tokens.weight · BF16 · 32,768×4096 |
| embedding norms | median 0.1741 · mean 0.1678 |
| lineage check | consistent — cosine 1 over 64 sampled rows vs mistralai/Mistral-7B-Instruct-v0.3 |
| glitch-token samples | "<0xFB>", "<0xFD>", "<0xFF>", "<0xFA>", "<0xFC>", "<0xFE>", "iNdEx", "febbra", "NdEx", "uitgen" |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-21 05:14 | 37s | 1 |
weights run 2026-08-21 — measurements
| probes run | glitch-norm-scan, lineage-norm-correlation |
| embedding tensor | model.embed_tokens.weight · BF16 · 32,768×4096 |
| glitch surface | 194 undertrained, 10 plain-ASCII |
| lineage check | consistent — cosine 1 over 64 rows vs mistralai/Mistral-7B-Instruct-v0.3 |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/c4tdr0ut/grok-oss-7B)