hexgrad/Kokoro-82M warn
Weights only ship in a format that can run code when loaded.
claims base: yl4579/StyleTTS2-LJSpeech · chat template: not found · view on Hugging Face ↗
Scan coverageStatic battery2026-08-20Weights batteryfailedBehavioral batteryn/adetails
| Battery | Looks at | Status |
|---|---|---|
| Static battery | Metadata & packaging | complete 2026-08-20 |
| Weights battery | Weights forensics: no GPU, no download | failed429 Too Many Requests for https://huggingface.co/api/models/hexgrad/Kokoro-82M |
| Behavioral battery | Live-inference differentials | n/anot applicable: text-to-speech model has no text-generation surface to probe |
Ingot runs three batteries against a model. What each one checks →
Findings
Scanned 2026-08-20 · published from a community scan.
medium Pickle-serialized weights, no safetensors
Weights ship only as pickle-based files (kokoro-v1_0.pth, voices/af_alloy.pt, voices/af_aoede.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.
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
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Verdict badge
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[](https://ingot.tools/models/hexgrad/Kokoro-82M)