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Update README.md

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  - Using **shenzhi-wang/Gemma-2-9B-Chinese-Chat** as base model, and finetune the dataset as mentioned via **[unsloth](https://github.com/unslothai/unsloth)**. Makes the model uncensored.
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  - [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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- ### Training Code
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- - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1K9stY8LMVcySG0jDMYZdWQCFPfoDFBL-?usp=sharing)
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  ### Training Procedure Raw Files
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  - **Hardware in Vast.ai**:
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- - **GPU**: 1 x A40 48GB
 
 
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- - **CPU**: 9vCPU
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- - **RAM**: 50 GB
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  - **Disk Space To Allocate**:>150GB
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  - Using **shenzhi-wang/Gemma-2-9B-Chinese-Chat** as base model, and finetune the dataset as mentioned via **[unsloth](https://github.com/unslothai/unsloth)**. Makes the model uncensored.
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  - [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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+ ### Training Code and Log
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+ - [ipynb file](https://colab.research.google.com/assets/colab-badge.svg)
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  ### Training Procedure Raw Files
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  - **Hardware in Vast.ai**:
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+ - **GPU**: 1 x A100 SXM 80G
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+ - **CPU**: 16vCPU
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+ - **RAM**: 251 GB
 
 
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  - **Disk Space To Allocate**:>150GB
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