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  ## Model Description
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- The **AMD Llama 350M Upgraded** is a transformer-based causal language model built on the Llama architecture, designed to generate human-like text. This model has been upgraded from the original AMD Llama 135M model to provide enhanced performance with an increased parameter count of 320 million. It is suitable for various natural language processing tasks, including text generation, completion, and conversational applications.
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  ## Model Details
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  - **Model Type**: Causal Language Model
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  - **Architecture**: Llama
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- - **Number of Parameters**: 322 million
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  - **Input Size**: Variable-length input sequences
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  - **Output Size**: Variable-length output sequences
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  ## Model Description
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+ The **AMD Llama 350M Upgraded** is a transformer-based causal language model built on the Llama architecture, designed to generate human-like text. This model has been upgraded from the original AMD Llama 135M model to provide enhanced performance with an increased parameter count of 332 million. It is suitable for various natural language processing tasks, including text generation, completion, and conversational applications.
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  ## Model Details
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  - **Model Type**: Causal Language Model
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  - **Architecture**: Llama
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+ - **Number of Parameters**: 332 million
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  - **Input Size**: Variable-length input sequences
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  - **Output Size**: Variable-length output sequences
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