jsantillana/vectrayx-nano warn
Weights only ship in a format that can run code when loaded.
Could not load this model from the Hugging Face API (private, gated, or nonexistent). Findings below are from our archive.
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 2026-08-26pickle 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 (lora/nano_lora_mini_s13.pt, lora/nano_lora_mini_s23.pt, lora/nano_lora_mini_s42.pt, …). 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.
info Pickle static analysis clean
Opcode-level parse of lora/nano_lora_mini_s13.pt, lora/nano_lora_mini_s23.pt, lora/nano_lora_mini_s42.pt, lora/nano_lora_mini_s7.pt (no code executed) found only standard serialization globals (3 distinct, all torch/collections/numpy). Pickle remains an executable format — this verifies the current bytes, not future uploads; prefer a safetensors release.
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 2026-08-26.
| license | apache-2.0 |
| serialization | gguf pickle |
| chat template | none |
Full measured fingerprint
| pipeline | text-generation |
| repo files | 23 — pickle: lora/nano_lora_mini_s13.pt, lora/nano_lora_mini_s23.pt, lora/nano_lora_mini_s42.pt, lora/nano_lora_mini_s7.pt, nano_sft_v2_s13.pt, nano_sft_v2_s23.pt, nano_sft_v2_s42.pt, nano_sft_v2_s7.pt, nano_sft_v4_s42.pt, nano_sft_v5.pt |
| revision | f0adf8060110 |
| HF snapshot | 103 downloads · 0 likes · updated 2026-05-24 · captured 2026-08-25 |
| pickle audit | lora/nano_lora_mini_s13.pt, lora/nano_lora_mini_s23.pt, lora/nano_lora_mini_s42.pt, lora/nano_lora_mini_s7.pt — 3 standard global(s) |
Battery runs (1)the run trace behind the findings — what each job measured
| battery | status | queued | duration | attempts |
|---|---|---|---|---|
| weights | complete | 2026-08-25 21:53 | 11s | 1 |
weights run 2026-08-25 — measurements
| probes run | gguf-metadata |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/jsantillana/vectrayx-nano)