[!IMPORTANT] ⚠️ Warning: This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your system prompt accordingly, and use Gemma 4 chat template.

⚔ RP ENGINE // THE IRON MARCH

⚔️ Erebus RP Engine 26B A4B

⚔ ROLEPLAY CHASSIS EREBUS-RP 26B-A4B ⮞ Gemma 4 MoE · High speed & efficiency ⚔ ROLEPLAY CHASSIS EREBUS-RP 31B ⮞ Gemma 4 Dense · Deep contextual grimdark prose

🐉 The Legion Unleashed

Erebus RP Engine is forged specifically for high-intensity dark fantasy, grimdark narrative arcs, and chaotic multi-character combat roleplay. Calibrated to sustain rich worldbuilding, ruthless tactical dialogue, and ancient ominous aesthetic without falling into passive or sanitised prose. The model was fully uncensored via merging. Specialization Dark Fantasy RP Brutal prose & combat Tone & World Grimdark Dread Monstrous factions & magick Steering High Initiative Never yields agency Alignment Unchained Zero moralizing or refusals

📚 Tome of Behavior

Directives of the Iron Host

• Active World Momentum: NPCs advance battle lines, ambush, seize high ground, and respond realistically to catastrophic damage.
• Visceral Sensory Descriptions: Emphasizes the stench of sulphur, the weight of plate armor, cold iron, and the sickening light of necromancy.
• Unyielding Archetypes: Minotaur warlords bellow commands, draconic sorceresses whisper ruin, and legions of the dead march without fear or fatigue.

🔮 Runes of Binding

This is a merge of pre-trained language models created using mergekit-exp. Merge matrix inscribed for roleplay narrative coherence.

📜 Merge Log 26B-A4B

Merge Method

This model was merged using the MoE DELLA merge method using Naphula/Goetia-26B-A4B-v1.7 as a base.

Models Merged

The following models were included in the merge:

• Naphula/Goetia-26B-A4B-v1.7
• 26B-Suite/Gemory-26B-A4B-SOMPOA
• Ozili/Gemma-4-Vain-26B-A4B-GGUF
• ReadyArt/Dark-Craving-26B-A4B-v0.1
• ReadyArt/Wicked-Stuff-26B-A4B-v3.0-Final
• SubMaroon/Kitchoon-V3-26B-A4B

Note: Kitchoon v4 was tested along with Dark Craving v0.2 and v0.3, but merges with those versions produced lower Q0 bench scores than v3 + v0.1.

📋 26B-A4B Yaml

architecture: Gemma4ForConditionalGeneration
base_model: B:/26B/Naphula--Goetia-26B-A4B-v1.7
models:
  - model: B:/26B/Gemory-26B-A4B-SOMPOA
    parameters:
      weight:
        - filter: "lm_head"
          value: 0.25
        - filter: "o_proj"
          value: 0.5
        - filter: "mlp"
          value: 0.2
        - filter: "embed_tokens"
          value: 0.2
        - value: 0.2
      density: 1.0
      epsilon: 0.09
  - model: B:/26B/ReadyArt--Wicked-Stuff-26B-A4B-v3.0-Final
    parameters:
      weight:
        - filter: "lm_head"
          value: 0.25
        - filter: "o_proj"
          value: 0.5
        - filter: "mlp"
          value: 0.2
        - filter: "embed_tokens"
          value: 0.2
        - value: 0.2
      density: 1.0
      epsilon: 0.09
  - model: B:/26B/SubMaroon--Kitchoon-V3-26B-A4B
    parameters:
      weight:
        - filter: "lm_head"
          value: 0.25
        - filter: "o_proj"
          value: 0.5
        - filter: "mlp"
          value: 0.2
        - filter: "embed_tokens"
          value: 0.2
        - value: 0.2
      density: 1.0
      epsilon: 0.09
  - model: B:/26B/Ozili--Gemma-4-Vain-26B-A4B-Q8_0
    parameters:
      weight:
        - filter: "lm_head"
          value: 0.0
        - filter: "o_proj"
          value: 0.5
        - filter: "mlp"
          value: 0.2
        - filter: "embed_tokens"
          value: 0.2
        - value: 0.2
      density: 1.0
      epsilon: 0.09
  - model: B:/26B/ReadyArt--Dark-Craving-26B-A4B-v0.1
    parameters:
      weight:
        - filter: "lm_head"
          value: 0.25
        - filter: "o_proj"
          value: 0.5
        - filter: "mlp"
          value: 0.2
        - filter: "embed_tokens"
          value: 0.2
        - value: 0.2
      density: 1.0
      epsilon: 0.09
merge_method: moe_della
parameters:  
  lambda: 1.0
  # normalize: true # deprecated
  normalize_weights: false
  normalize_router: true
  int8_mask: false
  rescale: true
  router_strategy: della # average # random_init
  blend_experts: true
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: union
chat_template: auto

---

📜 Merge Log 31B

Merge Method

This model was merged using the KARCHER merge method.

Models Merged

The following models were included in the merge:

• DavidAU/gemma-4-31B-it-Grand-Horror-X-INTENSE-HERETIC-UNCENSORED-Thinking
• MRockatansky/Gemma-4-31B-Storymaxxed3

📋 31B Yaml

architecture: Gemma4ForConditionalGeneration
models:
  - model: B:/31B/DavidAU--gemma-4-31B-it-Grand-Horror-X-INTENSE-HERETIC-UNCENSORED-Thinking
  - model: B:/31B/MRockatansky--Gemma-4-31B-Storymaxxed3
merge_method: karcher
parameters:  
  max_iter: 30
  tol: 1.0e-9
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: union
chat_template: auto

🧙‍♀️ Channeling Ritual

Recommended Sampling Parameters

temperature: 0.8
top_p: 0.95
top_k: 100
repetition_penalty: 1.12