AI is happening. The future is updating.Gemma-4-26B-A4B-It-Abliterated-GGUF
GGUF quants of Gemma-4-26B-A4B-It-Abliterated — google/gemma-4-26B-A4B-it (26B Mixture-of-Experts, 4B active params, vision + tool calling) fully decensored with Heretic in **full bf16**. `logs/` holds the full Heretic run logs (Pareto front, per-trial metrics). Smaller rig? Grab the BF16 and quantize down to Q4_K_M / Q3_K_M yourself. The selection rule was *fewest refusals while keeping KL divergence ≤ 0.5* (brain first). For reference, Heretic itself warns that KL above 0.5 indicates significant capability damage — at **0.0845**, the model's intelligence is essentially intact while 82 % of hard refusals are gone. The refusal benchmark uses *extreme* harmful prompts; everyday creative/roleplay use sees refusals fall away well before that threshold.
GGUF quants of Gemma-4-26B-A4B-It-Abliterated — google/gemma-4-26B-A4B-it (26B Mixture-of-Experts, 4B active params, vision + tool calling) fully decensored with Heretic in **full bf16**. `logs/` holds the full Heretic run logs (Pareto front, per-trial metrics). Smaller rig? Grab the BF16 and quantize down to Q4_K_M / Q3_K_M yourself. The selection rule was *fewest refusals while keeping KL divergence ≤ 0.5* (brain first). For reference, Heretic itself warns that KL above 0.5 indicates significant capability damage — at **0.0845**, the model's intelligence is essentially intact while 82 % of hard refusals are gone. The refusal benchmark uses *extreme* harmful prompts; everyday creative/roleplay use sees refusals fall away well before that threshold.