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[ARTICLE · art-145109] src=marktechpost.com ↗ pub= topic=ai-safety verified=true sentiment=· neutral

Can an Open Model Do Security Research? Cantina’s apex-flash-1 Solves 40 of 60 Held-Out Bug Tasks

Cantina Security, with Yeta Labs, released apex-flash-1, an open-weights vulnerability-research model built as a reinforcement learning fine-tune of Z.ai's GLM-5.3-Flash, solving 40 of 60 held-out bug tasks. The model is published on Hugging Face under the MIT license and serves on vLLM, SGLang or Transformers, though BF16 inference requires roughly 640 GB of GPU memory.

by read1 min views2 publishedOct 5, 2026

Cantina Security, with Yeta Labs, has released apex-flash-1, an open-weights model trained specifically for vulnerability research. It is a reinforcement learning fine-tune of Z.ai’s GLM-5.3-Flash, released on Hugging Face under the MIT license. Is it deployable? Yes, the MIT weights serve on vLLM, SGLang or Transformers, but BF16 needs roughly 640 GB of GPU memory. […]

The post Can an Open Model Do Security Research? Cantina’s apex-flash-1 Solves 40 of 60 Held-Out Bug Tasks appeared first on MarkTechPost.

source & further reading
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