Boulesis-26B-A4B
Composite Gemma 4 RP model (QK task arithmetic + fused LoRA).
The idea was to retain the model's core intelligence and knowledge, while diversifying its prose and making it more decisive. I also wanted to sharpen its attention to context so it could dig deeper into the character card, organically pulling lore and facts into the roleplay rather than just mirroring the user.
As a result, Boulesis moves beyond passive reactivity to genuinely advance the narrative, all while suffering zero catastrophic forgetting of its base intelligence.
YOU WILL GET THE BEST RESULTS WITH THINKING ON!
🏆 Best model for RP, ERP, and Dark RP in the 24–26B category, according to CaliperBench results.
Thinking mode, 7 sep. 2026
How it's built
Most RP merges blend whole models. This one edits one part of attention and leaves the rest alone.
| Part | Source |
|---|---|
| Body | coder3101/gemma-4-26B-A4B-it-heretic (ARA-abliterated, layers 10–30) |
lm_head |
copied from Gryphe/Gemma-4-26B-A4B-StyleTune-V2 (one tensor out of 659) |
q_proj, k_proj |
base + α·(Pantheon-Reasoning-1.1 − unsloth/gemma-4-26B-A4B-it), α = 0.6 |
v_proj, o_proj |
LoRA r=32, alpha=64, 55 projections, baked at effective scale 0.26 |
| Everything else | untouched |
q_proj and k_proj decide where the model looks. v_proj and o_proj decide what it carries back. That split comes from mechanistic interpretability work.
My guess was that RP reactivity is mostly an attention routing problem: the model over-weights the user's latest turn at the expense of the character card and prior context. To test this, I grafted the Q/K projections from Pantheon-Reasoning.
Using it
YOU WILL GET THE BEST RESULTS WITH THINKING ON!
Recommended settings:
Parameter Value Temperature 1.0Top-K 64Repetition Penalty 1.05-1.1Thanks to DifficultyThin8462
If the reasoning doesn't work when connecting GGUF ver. in KoboldCPP and SillyTavern
You need to force this in KoboldCPP. Go to the Content tab and enable these options.
For SillyTavern, it is recommended to set the template as shown:
Credits
Thanks to coder3101 and Gryphe for the fine-tunes, and the entire 26B-Suite team for their intellectual support.
Speсial thanks for Naphula and redaihf. You guys are awesome!
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