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Unsloth

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Unsloth patches Unsloth Studio flaw allowing code execution via malicious model metadata

Security researcher Ariel Fogel of Pillar Security disclosed a vulnerability in Unsloth Studio, the web interface for the popular open-source LLM fine-tuning library Unsloth, that let a malicious Hugging Face model execute arbitrary Python code simply by having its config.json inspected. The flaw stemmed from Unsloth Studio's use of a 'trust_remote_code=True' setting in the Transformers library, meaning no model weights needed to load or run for the exploit to trigger. Unsloth has since fixed the issue.

Z.ai releases GLM-5.3 with open model weights

Z.ai has published GLM-5.3 as an open-weight model, making its parameters publicly available for developers to download and run. Unsloth is preparing GGUF quantized versions of the model to allow it to run efficiently on local hardware.