Weights that run code are refused
Python pickles (.bin, .pt, .pth, .ckpt, .pkl) run whatever they hold when loaded, as the engine's user, on the node; that is how the malicious models found on Hugging Face work. The node refuses such a source, or a mirror set holding one, before fetching anything. A model added with one, or given one, is refused, while one already in the catalog still loads and is refused by its node with the same words. vLLM and SGLang downloading a model by its id get --load-format safetensors. The mirror page marks the file. allow_pickle: true on a model lets it through on purpose, carried to the node in EngineProfile.allow_pickle. BACKLOG M lists the rest: checksums against Hugging Face on every path, its own scan, trusted publishers, engines without the internet, an eval before an untrusted model serves. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -9930,6 +9930,10 @@
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"type": "string",
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"description": "Source is the weights path or a HuggingFace id."
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},
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"allow_pickle": {
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"type": "boolean",
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"description": "AllowPickle lets the nodes fetch this model's weights, or its adapters', in a pickle format (.bin, .pt, .pth, .ckpt), which run code as they are loaded. Off, such a source is refused when the model is added and by the node before it fetches anything. For a model that has no safetensors or GGUF form and whose files were checked."
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},
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"profiles": {
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"type": "array",
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"items": {
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@@ -10309,6 +10313,10 @@
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"type": "string",
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"description": "HFRepo is the repository its node loads the weights by name from."
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},
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"allow_pickle": {
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"type": "boolean",
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"description": "AllowPickle is the member model's allow_pickle."
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},
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"workflow": {
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"type": "string",
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"description": "Workflow and Checkpoint are what a request for it is sent."
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