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  A **89.8M parameter** causal language model built entirely from scratch using a custom transformer architecture, trained on WikiText-103 + synthetic instruction data.
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  ## Architecture
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  | Parameter | Value |
@@ -46,9 +56,11 @@ Key design choices:
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  Requirements: Python 3.8+ and pip.
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  ```bash
 
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  git clone https://huggingface.co/JustScriptzz/nexus-smAll-v1
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  cd nexus-smAll-v1
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  pip install torch --index-url https://download.pytorch.org/whl/cpu
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  pip install tokenizers
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  ```
 
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  A **89.8M parameter** causal language model built entirely from scratch using a custom transformer architecture, trained on WikiText-103 + synthetic instruction data.
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+ ## Try it Online
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+
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+ Test the model directly in your browser (free, no login required):
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+ [![Run on Replit](https://replit.com/badge/github/JustScriptzz/nexus-smAll-v1)](https://replit.com/github/JustScriptzz/nexus-smAll-v1)
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+ Or view the source code on GitHub:
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+ [![GitHub](https://img.shields.io/badge/GitHub-View%20Source-181717?logo=github)](https://github.com/JustScriptzz/nexus-smAll-v1)
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  ## Architecture
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  | Parameter | Value |
 
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  Requirements: Python 3.8+ and pip.
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  ```bash
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+ # 1. Clone the repository
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  git clone https://huggingface.co/JustScriptzz/nexus-smAll-v1
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  cd nexus-smAll-v1
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+ # 2. Install dependencies
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  pip install torch --index-url https://download.pytorch.org/whl/cpu
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  pip install tokenizers
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  ```