Attributed metadata history
Up to 100 retained publisher events per page for f9da8cd2d3363a916d6bfe230797ae26745e6f5a31d93aad48877e889a70c873. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_85b5039c8403974534
observed · 2026-10-16 14:47:03 UTC
This is a problem: Any open model whose weights have been edited can carry a backdoor, whether it’s a task-specific fine-tune, a merged adapter or an abliterated build. We have abliterated models in the title because it’s the most popular reason people download modified weights without verifying what’s inside. Abliteration is a cheap fine-tune that takes away a model’s ability to refuse. You find the direction in the weights that carries “no” and subtract it. The model then answers things a safety-tuned version would turn down. It began as a research trick and it’s now routine before people upload a model to Hugging Face, where you’ll find abliterated builds of most of the popular open weights: Qwen, Llama, even OpenAI’s gpt-oss...
Fingerprint: 7ea35be942bacbba4053dbc5c5ba10d5f8868e3fdb6bb9d3ad6bd14d88c1cea5
intelligence_src_85b5039c8403974534
observed · 2026-10-12 12:19:08 UTC
available
Fingerprint: 57280a5ac142327b24d0e1d19f441498f2f27e79f2609e873bd8a8828b30837b