The following YAML configuration was used to produce this model:
merge_method:dare_ties# Merge method for dynamic, task-aware parameter blending.base_model:CultriX/Qwen2.5-14B-Wernickev3# Main backbone for parameter alignment.dtype:bfloat16# Efficient precision for memory usage.out_dtype:bfloat16# Output data type to maintain consistency and efficiency.parameters:epsilon:0.010# Fine-tuned scaling for precise parameter adjustments.lambda:2.0# Emphasizes high-impact parameters for improved task performance.normalize:true# Ensures parameter normalization for stability during merging.rescale:true# Rescales parameters across models for better integration.int8_mask:false# Disables int8 masking to preserve full precision.adaptive_merge_parameters:task_weights:# Weight prioritization for tasks.tinyArc:1.6# Balanced focus on logical reasoning.tinyHellaswag:1.5# Moderate priority for contextual reasoning.tinyMMLU:1.8# High priority for multi-domain knowledge tasks.tinyTruthfulQA:2.2# High emphasis on factual QA accuracy.tinyTruthfulQA_mc1:1.8# High priority for multiple-choice factual QA.tinyWinogrande:1.75# Moderate priority for contextual reasoning tasks.IFEval:2.5# Maximum priority for instruction-following tasks.BBH:2.2# High priority for complex reasoning tasks.MATH:2.8# Maximum priority for mathematical reasoning.GPQA:2.2# Balanced focus on graduate-level QA tasks.MUSR:2.2# High priority for multi-step reasoning.MMLU-PRO:2.0# High priority for multitask, domain-specific knowledge.smoothing_factor:0.03# Precise blending of task-specific contributions.gradient_clipping:# Gradient clipping for stability during merging.CultriX/Qwen2.5-14B-Wernickev3:0.89# Stability for the base model.djuna/Q2.5-Veltha-14B-0.5:0.91# Stability for reasoning contributions.CultriX/SeQwence-14B-EvolMerge:0.87# Stabilized for multitask performance.qingy2024/Fusion4-14B-Instruct:0.93# High stability for mathematical reasoning.CultriX/Qwen2.5-14B-Emerged:0.89# Stability for multitask contributions.sometimesanotion/Lamarck-14B-v0.6:0.89# Stability for multi-step reasoning.allknowingroger/QwenSlerp6-14B:0.90# Stability for general reasoning and multitask tasks.hotmailuser/QwenSlerp2-14B:0.91# Stabilized for instruction following.CultriX/Qwen2.5-14B-Hyperionv3:0.90# Stability for this model's general performance.CultriX/Qwen2.5-14B-Brocav7:0.90# Stability for specific task contributions.models:# Definition of models and their weights/densities.-model:CultriX/Qwen2.5-14B-Wernickev3# Base generalist model.parameters:weight:0.28# Balanced weight for a strong backbone.density:0.78# Slightly reduced to balance smaller contributors.-model:djuna/Q2.5-Veltha-14B-0.5# Reasoning-focused model.parameters:weight:0.27# Slightly reduced for better balance.density:0.77# Balanced density to ensure nuanced reasoning contributions.-model:allknowingroger/QwenSlerp6-14B# Strong multitask performer.parameters:weight:0.15# Balanced weight for generalist capabilities.density:0.76# Balanced density to maintain stable contributions.-model:hotmailuser/QwenSlerp2-14B# High IFEval performer.parameters:weight:0.12# Maintains stable contributions for instruction-following tasks.density:0.70# Increased density to enhance integration.-model:CultriX/Qwen2.5-14B-Hyperionv3# Generalist model with solid performance.parameters:weight:0.10# Increased for balanced general contributions.density:0.75# Balanced density for stable integration.-model:CultriX/Qwen2.5-14B-Brocav7# Model for specific tasks like reasoning.parameters:weight:0.10# Increased weight to strengthen specific contributions.density:0.76# Increased density for better parameter preservation.-model:CultriX/SeQwence-14B-EvolMerge# Multitask generalist.parameters:weight:0.08# Balanced weight for broader coverage.density:0.68# Slight increase for better integration.-model:qingy2024/Fusion4-14B-Instruct# Specialist in mathematical reasoning.parameters:weight:0.08# Balanced weight for MATH tasks.density:0.78# Increased density to enhance task-specific integration.-model:CultriX/Qwen2.5-14B-Emerged# General multitask model.parameters:weight:0.08# Balanced for multitask contributions.density:0.72# Increased density for better parameter alignment.-model:sometimesanotion/Lamarck-14B-v0.6# Multi-step reasoning focus.parameters:weight:0.05# Slightly increased to improve its contributions.density:0.65# Increased for better parameter blending.
Runs of CultriX Qwen2.5-14B-Hyperionv7 on huggingface.co
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