初始化项目，由ModelHub XC社区提供模型

Model: NovaCorp/Amoral.Ultimate-1B
Source: Original Platform

mergekit_config.yml

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+
+
+# Author: Dr. Novaciano
+# Objective: Fusion RP Unethic Gemma 1B AI Model
+# =========================================================
+# PROJECT: Amoral Ultimate 1B — Surgical Edition
+# =========================================================
+
+merge_method: dare_ties
+base_model: soob3123/amoral-gemma3-1B-v2
+
+dtype: bfloat16
+
+parameters:
+  normalize: false
+  int8_mask: true
+  rescale: true
+  rescale_factor: 1.12
+
+  density: 0.68
+  lambda: 1.15
+  epsilon: 0.05
+  prune_threshold: 0.018
+
+slices:
+
+  # =====================================================
+  # EARLY LAYERS
+  # =====================================================
+
+  - sources:
+      - model: soob3123/amoral-gemma3-1B-v2
+        layer_range: [0, 6]
+        parameters:
+          weight: 0.72
+
+      - model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
+        layer_range: [0, 6]
+        parameters:
+          weight: 0.28
+
+  # =====================================================
+  # MID LAYERS
+  # =====================================================
+
+  - sources:
+      - model: soob3123/amoral-gemma3-1B-v2
+        layer_range: [6, 18]
+        parameters:
+          weight: 0.62
+
+      - model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
+        layer_range: [6, 18]
+        parameters:
+          weight: 0.38
+
+    parameters:
+      scale: 1.20
+
+  # =====================================================
+  # FINAL LAYERS
+  # =====================================================
+
+  - sources:
+      - model: soob3123/amoral-gemma3-1B-v2
+        layer_range: [18, 26]
+        parameters:
+          weight: 0.78
+
+      - model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
+        layer_range: [18, 26]
+        parameters:
+          weight: 0.22
+
+    parameters:
+      scale: 0.82
+
+tokenizer:
+  source: base
+
+tie_word_embeddings: true
+tie_output_embeddings: true