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Model: CultriX/Qwen2.5-14B-Brocav3 Source: Original Platform
2026-04-21 17:55:38 +08:00
commit 4a497412a3
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--- a/mergekit_config.yml
+++ b/mergekit_config.yml
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+merge_method: della_linear
+base_model: CultriX/Qwen2.5-14B-Wernickev3
+dtype: bfloat16
+parameters:
+  epsilon: 0.012        # Further reduced to ensure ultra-fine parameter scaling for precision.
+  lambda: 1.4           # Stronger emphasis on significant model contributions.
+  normalize: true       # Balances the parameter integration for stability.
+
+adaptive_merge_parameters:
+  task_weights:
+    tinyArc: 1.6           # Prioritizes logical reasoning improvements.
+    tinyHellaswag: 1.5     # Strengthened contextual understanding and consistency.
+    tinyMMLU: 1.65         # Enhanced domain knowledge for multitask benchmarks.
+    tinyTruthfulQA: 1.9    # Maximized for accurate factual reasoning and QA.
+    tinyTruthfulQA_mc1: 1.7 # Balanced focus for multiple-choice reasoning.
+    tinyWinogrande: 1.75   # Advanced reasoning and contextual prediction improvement.
+    IFEval: 1.9            # Instruction-following tasks boosted by multitask contributors.
+    BBH: 1.7               # Complex reasoning is supported by logical base models.
+    MATH: 2.1              # Highest priority, focusing on mathematical excellence.
+    GPQA: 1.8              # Boosted graduate-level QA capabilities.
+    MUSR: 1.9              # Nuanced multi-step reasoning strengthened further.
+    MMLU-PRO: 1.8          # Domain multitask performance maximized.
+  smoothing_factor: 0.1    # Precisely tuned for smooth task-specific blending.
+
+gradient_clipping:
+  CultriX/Qwen2.5-14B-Wernickev3: 0.86  # Backbone stability with slightly reduced clipping.
+  CultriX/Qwenfinity-2.5-14B: 0.83      # Consistent multitask integration.
+  djuna/Q2.5-Veltha-14B-0.5: 0.91       # Strengthened advanced reasoning contributions.
+  CultriX/Qwen2.5-14B-Broca: 0.85       # Logical reasoning enhancements stabilized.
+  qingy2019/Qwen2.5-Math-14B-Instruct: 0.93 # Mathematically focused tasks maximized.
+  CultriX/SeQwence-14Bv1: 0.88          # Generalist multitask support.
+  sometimesanotion/Qwen2.5-14B-Vimarckoso: 0.89 # Balanced multi-step reasoning contributions.
+  allknowingroger/QwenSlerp6-14B: 0.87  # Contextual and logical reasoning integration refined.
+
+models:
+  - model: CultriX/Qwen2.5-14B-Wernickev3
+    parameters:
+      weight: 0.26       # Core backbone for multitask reasoning.
+      density: 0.7       # Slight increase to preserve critical reasoning parameters.
+  - model: CultriX/Qwenfinity-2.5-14B
+    parameters:
+      weight: 0.23       # Comprehensive multitask performer.
+      density: 0.65
+  - model: djuna/Q2.5-Veltha-14B-0.5
+    parameters:
+      weight: 0.22       # Advanced reasoning support for GPQA and MUSR.
+      density: 0.72
+  - model: CultriX/Qwen2.5-14B-Broca
+    parameters:
+      weight: 0.15       # Logical reasoning and factual QA enhancements.
+      density: 0.65
+  - model: qingy2019/Qwen2.5-Math-14B-Instruct
+    parameters:
+      weight: 0.18       # Mathematical reasoning priority.
+      density: 0.73
+  - model: CultriX/SeQwence-14Bv1
+    parameters:
+      weight: 0.14       # Generalist multitask backbone.
+      density: 0.63
+  - model: sometimesanotion/Qwen2.5-14B-Vimarckoso
+    parameters:
+      weight: 0.12       # Multi-step reasoning tasks contributor.
+      density: 0.6
+  - model: allknowingroger/QwenSlerp6-14B
+    parameters:
+      weight: 0.1        # Contextual reasoning improvements.
+      density: 0.62
+
+tokenizer_source: CultriX/Qwen2.5-14B-Wernickev3