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Cataloged from SC117/Gemma-4-12B-it-heretic-GGUF
All models by SC117 →🧠 Uncensored · Encoder-Free Multimodal · Vision + Audio
Uncensored version of Google Gemma 4 12B IT, processed with Heretic ARA+LoRA abliteration. Encoder-free multimodal architecture supporting text, image, audio, and video inputs natively.
Base model: google/gemma-4-12B-it · Parameters: 11.95B · Layers: 48 · Context: 256K · Vocab: 262K
Context length fix: all quantized files have been re-generated with correct 256K context metadata. Previously downloaded models were capped at 128K context. If you need 256K long context, please re-download.
Method: Arbitrary-Rank Ablation with LoRA (ARA+LoRA) — Heretic v2
Trial: 177 / 200 (optimized)
Quantized with llama.cpp b9535 (CUDA 13.3). Recommended: Q4_K_M for daily use, Q8_0 for quality-critical tasks.
Gemma 4 12B uses a unified, encoder-free architecture — no separate vision or audio encoders. All modalities (text, image, audio, video) are processed directly by the decoder-only transformer via linear projection layers.
Reference scores from Google DeepMind. Heretic abliteration may slightly affect benchmark performance.
• This is an abliterated (uncensored) model. It may produce content that the original model would refuse. Use responsibly.
• Original model: google/gemma-4-12B-it (Apache 2.0)