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README.md
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- merge
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- mergekit
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- lazymergekit
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- upaya07/Arithmo2-Mistral-7B
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- WizardLMTeam/WizardMath-7B-V1.1
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base_model:
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- upaya07/Arithmo2-Mistral-7B
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- WizardLMTeam/WizardMath-7B-V1.1
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---
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# ganeet-V4
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ganeet-V4 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [upaya07/Arithmo2-Mistral-7B](https://huggingface.co/upaya07/Arithmo2-Mistral-7B)
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* [WizardLMTeam/WizardMath-7B-V1.1](https://huggingface.co/WizardLMTeam/WizardMath-7B-V1.1)
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## 🧩 Configuration
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```yaml
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parameters:
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.4
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dtype: bfloat16
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```
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## 💻 Usage
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- merge
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- mergekit
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- lazymergekit
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- WizardLMTeam/WizardMath-7B-V1.1
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- microsoft/rho-math-7b-interpreter-v0.1
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- meta-math/MetaMath-Mistral-7B
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base_model:
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- WizardLMTeam/WizardMath-7B-V1.1
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- microsoft/rho-math-7b-interpreter-v0.1
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- meta-math/MetaMath-Mistral-7B
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---
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# ganeet-V4
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ganeet-V4 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [WizardLMTeam/WizardMath-7B-V1.1](https://huggingface.co/WizardLMTeam/WizardMath-7B-V1.1)
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* [microsoft/rho-math-7b-interpreter-v0.1](https://huggingface.co/microsoft/rho-math-7b-interpreter-v0.1)
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* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
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## 🧩 Configuration
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```yaml
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models:
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- model: WizardLMTeam/WizardMath-7B-V1.1
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layer_range: [0, 30]
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parameters:
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density: 0.5 # fraction of weights in differences from the base model to retain
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weight: # weight gradient
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- filter: mlp
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value: 0.5
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- value: 0
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- model: deepseek-ai/deepseek-math-7b-rl
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layer_range: [0, 30]
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- model: microsoft/rho-math-7b-interpreter-v0.1
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layer_range: [0, 30]
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parameters:
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density: 0.5
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weight: 0.5
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- model: meta-math/MetaMath-Mistral-7B
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layer_range: [0, 30]
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parameters:
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density: 0.5
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weight: 0.5
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merge_method: ties
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base_model: deepseek-ai/deepseek-math-7b-rl
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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```
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## 💻 Usage
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