RPBizkit-v2-12B

RicardoEstep/RPBizkit-v2-12B

"Experimental Karcher-Mean Mix" using "Mergekit".

Don't ask me how i could merge it with only "16GBs of RAM", all models are mixed equaly and all their data have same importance. I'm not responsible of the use of this.

I did it all for the nookie, so you can take that cookie, and stick it up your...

Models used:

• DreadPoor/Krix-12B-Model_Stock
• SicariusSicariiStuff/Impish_Bloodmoon_12B
• yamatazen/EtherealAurora-12B
• redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS-v3
• Retreatcost/KansenSakura-Eclipse-RP-12b
• yamatazen/NeonMaid-12B-v2
• yamatazen/FusionEngine-12B-Lorablated

I couldn't use "yamatazen/EsotericSage-12B" cause it give me problems with "Weights", & "ReadyArt/Safeword-Casual-V1-12B" cause it uses "Gemma-3".

The recommended max context size is "8K (8192)". Some of the models in the mix, used a "fake rope_theta hack" to support "1M" of context size, and this model coppied that configuration. This are not a real numbers, and would NOT give you a "meaningful long‑context behavior".

• Quantized Model, Here RicardoEstep/RPBizkit-v2-12B-GGUF.

YAML Configuration Used:

models:
  - model: DreadPoor/Krix-12B-Model_Stock
  - model: redrix/AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS-v3
  - model: SicariusSicariiStuff/Impish_Bloodmoon_12B
  - model: Retreatcost/KansenSakura-Eclipse-RP-12b
  - model: yamatazen/NeonMaid-12B-v2
  - model: yamatazen/EtherealAurora-12B
  - model: yamatazen/FusionEngine-12B-Lorablated
merge_method: karcher
base_model: DreadPoor/Krix-12B-Model_Stock
dtype: bfloat16
parameters:
  normalize: true
  karcher_steps: 64   # Extremely Clean, Stable, High‑quality Merge.
  tolerance: 1e-7    # Maximum smoothness and Minimal artifacts.
tokenizer:
  source: union