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hexgrad

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https://hf.co/hexgrad/Kokoro-82M

hexgrad

AI & ML interests

Building in a cave with a box of scraps

Recent Activity

new activity 2 days ago

hexgrad/Kokoro-82M:Upload af_novaua.wav

reacted to Pendrokar's post with 👍 2 days ago

TTS: Added both Zonos model Spaces to the Arena Fork: 🏆 https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena Zonos 🌍: https://huggingface.co/spaces/Steveeeeeeen/Zonos IMHO while Zonos still has fewer amount of capabilities than xVASynth, I'm still giving it the first row at the TTS capabilities table due to IPA and insta-clone/zero-shot: 1️⃣ https://huggingface.co/datasets/Pendrokar/open_tts_tracker/viewer/train/train

replied to their post 3 days ago

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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published an article 16 days ago

Article

G2P Shrinks Speech Models

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16 days ago

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published an article 3 months ago

Article

Upgrading Kokoro: natural TTS for short bursts

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Nov 22, 2024

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