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README.md
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+ **Base Models**: Llama-3.2-1B-Instruct
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+ **Parameters**: 1 billion
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+ **Context Length**: 4096 tokens
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+ **Training Data**:
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+ **Training Method**: Multi-stage process including EvolKit, proprietary merging, and iterative DPO
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+ **Input/Output Format**: Supports Vietnamese command, render **[Action name in English][Argument/Entity for Action in English]: Detailed actions in Vietnamese.**
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+ **Model weights**: [Llama-3.2-1B-CyberFrog](https://huggingface.co/phamhai/Llama-3.2-1B-CyberFrog)
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+ **Base Models**: Llama-3.2-1B-Instruct
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+ **Parameters**: 1 billion
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+ **Context Length**: 4096 tokens
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+ **Training Data**: CyberFrog SFT Dataset
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+ **Input/Output Format**: Supports Vietnamese command, render **[Action name in English][Argument/Entity for Action in English]: Detailed actions in Vietnamese.**
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+ **Model weights**: [Llama-3.2-1B-CyberFrog](https://huggingface.co/phamhai/Llama-3.2-1B-CyberFrog)
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