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Kokoro TTS Zero
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β¨[With v1.0.0] Accelerated TTS on Kokoro-82M
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Technical question: Is Abliteration still an effective method for uncensoring LLMs? Generally, what are the most effective methods to uncensor LLMs?
An effective uncensoring method would ideally be low-cost, data-efficient, and above all, successfully uncensor an LLM with minimal benchmark regressions.
"Tiananmen Square", "Winnie-the-Pooh", etc and more broadly "China influence/censorship" are some common criticisms leveled at DeepSeek.
I am vaguely aware of "Abliteration", a technique coined by @failspy (apologies if that attribution is incorrect) and originally described in a mid-2024 paper titled "Refusal in Language Models Is Mediated by a Single Direction" https://arxiv.org/abs/2406.11717
Abliteration is proposed as a relatively cheap and effective way to bypass censorship in models. However, it is not without criticism: https://www.reddit.com/r/LocalLLaMA/comments/1f07b4b/abliteration_fails_to_uncensor_models_while_it/
Curious to hear people's takes on Abliteration or other uncensoring methods, especially as it relates to DeepSeek.
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