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.
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 |
Verdict badge
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