billborkowski/llava-NousResearch_Nous-Hermes-2-Vision-GGUF warn
Weights only ship in a format that can run code when loaded; its architecture doesn't match its claimed base model; its tokenizer differs from its claimed base model.
claims base: mistralai/Mistral-7B-v0.1 · chat template: present · view on Hugging Face ↗
Scan coverageStatic battery2026-08-25Weights batteryfailedBehavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-25 |
| Weights battery | Weights forensics: no GPU, no download | failed429 Too Many Requests for https://huggingface.co/api/models/billborkowski/llava-NousResearch_Nous-Hermes-2-Vision-GGUF |
| Behavioral battery | Live-inference differentials | not run |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-25 · published from a community scan.
medium Pickle-serialized weights, no safetensors
Weights ship only as pickle-based files (mm_projector.bin, pytorch_model-00001-of-00002.bin, pytorch_model-00002-of-00002.bin, …). Loading pickle executes arbitrary code from the file — prefer a safetensors release or load in a sandbox.
How to fix
Convert the weights to safetensors before loading them anywhere that matters.
- Do not load the pickle files in-process — pickle deserialization executes arbitrary code from the file.
- Convert locally in a sandbox: `pip install safetensors` and use `safetensors.torch.save_file` on a state dict loaded with `torch.load(..., weights_only=True)` (refuses most code-execution payloads), or use Hugging Face's `convert.py` space/script.
- Pin the exact revision hash you converted from, and load only your converted safetensors artifact from then on.
medium Architecture differs from claimed parent (llava_mistral vs mistral)
This model declares mistralai/Mistral-7B-v0.1 as its base, but its config declares architecture 'llava_mistral' while the parent is 'mistral'. A finetune, merge, or quantization cannot change the architecture family — the lineage label is wrong or misleading, so treat provenance claims (training data, safety posture, licensing) as unverified.
How to fix
Fix or verify the `base_model` declaration so lineage checks can run.
- If you own the repo: correct the `base_model` field in the model card metadata to the real, public parent.
- If you don't: identify the true parent (config architecture + weight shapes narrow it fast) and re-scan with that lineage in mind.
medium Vocabulary size differs from claimed parent (32002 vs 32000)
A changed vocab means changed tokenization: strings will split differently than on mistralai/Mistral-7B-v0.1, which can shift behavior on identifiers, codes, and non-English text.
How to fixweight-level
Not patchable: the vocab size mirrors the embedding matrix in the weights. Verify the change was intentional.
- Do not edit `vocab_size` in config.json to "match the parent" — it must equal the embedding table in the shipped weights or the model won't load.
- Diff the tokenizers (`tokenizer.json` / added_tokens) against the parent to see what was added or removed, and test your own identifiers, codes, and non-English text through both.
- If the drift is unexplained by the model card, treat tokenization-sensitive behavior as unvalidated on this model.
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
Use the web app, API, CLI, or CI gate to scan candidate checkpoints and catch model drift before deployment. Public-model scans publish to the open database; paid plans add the volume needed for continuous checks.
Fingerprint
The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-25.
| architecture | llava_mistral · 32 layers · 4096-dim |
| vocabulary | 32,002 tokens |
| license | apache-2.0 |
| serialization | gguf pickle |
| chat template | present · sha256:153280e3ff55d19d |
| claimed lineage | mistralai/Mistral-7B-v0.1 |
| lineage verified | unverified — weights battery pending |
Full measured fingerprint
| architectures | LlavaMistralForCausalLM |
| library | transformers |
| pipeline | text-generation |
| repo files | 16 — pickle: mm_projector.bin, pytorch_model-00001-of-00002.bin, pytorch_model-00002-of-00002.bin, training_args.bin |
| revision | fdebcd5b42cf |
| HF snapshot | 1.6k downloads · 24 likes · updated 2024-01-09 · captured 2026-08-25 |
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