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  This is a Llama 2 architecture model series trained on the TinyStories dataset, intended for use in the [llama2.c](https://github.com/karpathy/llama2.c) project by Andrej Karpathy.
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- trained on a single V100 32GB gpu for 3 epochs, we achieve an inference speed of ~72 tokens/sec.
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- learn more on how to run inference in pure C using [llama2.c](https://github.com/karpathy/llama2.c)
 
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  This is a Llama 2 architecture model series trained on the TinyStories dataset, intended for use in the [llama2.c](https://github.com/karpathy/llama2.c) project by Andrej Karpathy.
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+ Trained on a single v100 32GB GPU for 3 epochs, we achieve an inference speed of ~72 tokens/sec on the same.
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+ Learn more on how to run inference in pure C using [llama2.c](https://github.com/karpathy/llama2.c)