metadata
base_model:
- fblgit/cybertron-v4-qw7B-MGS
- huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3
- FreedomIntelligence/HuatuoGPT-o1-7B
- rombodawg/Rombos-LLM-V2.5-Qwen-7b
- Qwen/Qwen2.5-7B-Instruct
library_name: transformers
tags:
- mergekit
- merge
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear DELLA merge method using Qwen/Qwen2.5-7B-Instruct as a base.
Models Merged
The following models were included in the merge:
- fblgit/cybertron-v4-qw7B-MGS
- huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3
- FreedomIntelligence/HuatuoGPT-o1-7B
- rombodawg/Rombos-LLM-V2.5-Qwen-7b
Configuration
The following YAML configuration was used to produce this model:
merge_method: della_linear
base_model: Qwen/Qwen2.5-7B-Instruct
dtype: bfloat16
parameters:
epsilon: 0.015 # Fine-grain scaling for precision.
lambda: 1.6 # Strong emphasis on top-performing models.
normalize: true # Stable parameter integration across models.
adaptive_merge_parameters:
task_weights:
tinyArc: 1.75 # Logical reasoning.
tinyHellaswag: 1.65 # Contextual predictions.
tinyMMLU: 1.8 # Domain knowledge.
tinyTruthfulQA: 2.0 # Prioritize truthful reasoning.
tinyTruthfulQA_mc1: 1.85
tinyWinogrande: 1.9 # Advanced reasoning and predictions.
IFEval: 2.1 # Instruction-following and multitasking.
BBH: 2.25 # Complex reasoning.
MATH: 2.4 # Mathematical reasoning.
GPQA: 2.35 # Factual QA.
MUSR: 2.3 # Multi-step reasoning.
MMLU-PRO: 2.35 # Domain multitask performance.
smoothing_factor: 0.05 # TURN UP THE SMOOTH!
models:
- model: Qwen/Qwen2.5-7B-Instruct
parameters:
weight: 0.65
density: 0.65
- model: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3
parameters:
weight: 0.1
density: 0.1
- model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
parameters:
weight: 0.15
density: 0.15
- model: fblgit/cybertron-v4-qw7B-MGS
parameters:
weight: 0.05
density: 0.05
- model: FreedomIntelligence/HuatuoGPT-o1-7B
parameters:
weight: 0.05
density: 0.05