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GGUF quantizations of `zaakirio/gemma-4-12b-it-uncensored`, a decensored (Heretic-abliterated) version of `google/gemma-4-12B-it`. Gemma 4 12B (the "Unified" release, June 2026) is an **encoder-free unified multimodal** model: text, image, audio, and video all project straight into a single decoder-only transformer, with a context window of up to **256K tokens**. Abliteration touches only the language weights, so those capabilities carry over unchanged. Not sure which to pick? **Start with Q4_K_M.** Go up to Q5/Q6/Q8 if you have the memory and want maximum fidelity; drop to Q3/Q2 only if you're memory-constrained.

Input Text · Image→ Output Text
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kokoro-ru

zaakirio

Russian text-to-speech at **82M parameters**, running **9.8x faster than realtime on a laptop CPU** with no GPU. Three fixed voices from consented studio actors. Sveta — heard in the clip above — is the flagship voice. She and Masha share one checkpoint and differ only by voicepack, so the release is two model files, not three. Russian TTS lives or dies on lexical stress — за́мок is a castle, замо́к is a padlock. `ru_g2p.py` resolves stress, ё and homographs with RUAccent, applies Russian vowel reduction, then phonemizes. **Feed it text, not IPA.**

Input Text→ Output Audio
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