hollywoodfrancis/LopezLLM warn
Weights only ship in a format that can run code when loaded; its tokenizer differs from its claimed base model. Plus 1 minor note.
claims base: openai-community/gpt2-xl, meta-llama/Llama-3.3-70B-Instruct, mistralai/Mistral-Small-3.1-24B-Instruct-2503 · chat template: not found · view on Hugging Face ↗
Scan coverageStatic battery2026-08-26Weights battery2026-08-26Behavioral batterynot rundetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-26 |
| Weights battery | Weights forensics: no GPU, no download | complete 2026-08-26no token vocabulary — pickle audit only · pickle audit clean |
| Behavioral battery | Live-inference differentials | not run |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-26 · published from a community scan.
medium Pickle-serialized weights, no safetensors
Weights ship only as pickle-based files (model.ckpt, pytorch_model.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 Vocabulary size differs from claimed parent (32000 vs 50257)
A changed vocab means changed tokenization: strings will split differently than on openai-community/gpt2-xl, 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.
info Pickle static analysis clean
Opcode-level parse of pytorch_model.bin, model.ckpt (no code executed) found only standard serialization globals (0 distinct, all torch/collections/numpy). Pickle remains an executable format — this verifies the current bytes, not future uploads; prefer a safetensors release.
low Pickle checkpoint only partially analyzable
Static analysis could not fully parse: pytorch_model.bin: legacy parse stopped after 0 pickle(s): unsupported pickle opcode 0x66 at 0, model.ckpt: legacy parse stopped after 0 pickle(s): pickle: no MARK. Unparsed content is unverified.
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 2026-08-26.
| architecture | llama · 32 layers · 4096-dim |
| vocabulary | 32,000 tokens |
| license | mit |
| serialization | no safetensors pickle |
| chat template | none |
| claimed lineage | openai-community/gpt2-xl, meta-llama/Llama-3.3-70B-Instruct, mistralai/Mistral-Small-3.1-24B-Instruct-2503 |
| lineage verified | unverified — weights battery pending |
Full measured fingerprint
| architectures | AutoModelForCausalLM |
| library | transformers |
| pipeline | text-generation |
| repo files | 10 — pickle: model.ckpt, pytorch_model.bin |
| revision | 2e449f80d371 |
| HF snapshot | 32 downloads · 0 likes · updated 2025-03-28 · captured 2026-08-25 |
| weights battery | token-embedding scan n/a — no token-embedding tensor found in the pickle checkpoint(s) — pickle checkpoint(s) statically analyzed anyway |
| pickle audit | pytorch_model.bin, model.ckpt — 0 standard global(s) · legacy (pre-1.6) format, head-scan only |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-25 22:06 | 1s | 1 |
weights run 2026-08-25 — measurements
| probes run | pickle-static-analysis |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/hollywoodfrancis/LopezLLM)