ClaudioItaly
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README.md
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base_model:
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- happzy2633/qwen2.5-7b-ins-v3
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- AIDC-AI/Marco-o1
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library_name: transformers
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tags:
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- mergekit
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- merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [happzy2633/qwen2.5-7b-ins-v3](https://huggingface.co/happzy2633/qwen2.5-7b-ins-v3) as a base.
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### Models Merged
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The following models were included in the merge:
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* [AIDC-AI/Marco-o1](https://huggingface.co/AIDC-AI/Marco-o1)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: AIDC-AI/Marco-o1
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parameters:
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density: [1, 0.7, 0.1] # density gradient
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weight: 0.8 # slightly reduced weight
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- model: happzy2633/qwen2.5-7b-ins-v3
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parameters:
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density: 0.5
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weight: [0.2, 0.4, 0.6, 0.8] # adjusted weight gradient
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- model: AIDC-AI/Marco-o1
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parameters:
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density: 0.33
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weight:
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- filter: mlp
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value: 0.6 # slightly increased weight for mlp
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- value: 0.1 # slight weight for other layers
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merge_method: ties
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base_model: happzy2633/qwen2.5-7b-ins-v3
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16 # trying bfloat16 for potential performance improvement
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```
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my elaboration and fusion of the models has led to a surprising result that I want to share with you all. I recommend you try this merge of mine.
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Demonstrates strong reasoning skills when asked questions or texts.
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It is useful for reasoning to formulate questions with this example "Question: How did the Moon arise in your opinion?
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```
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