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README.md
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@@ -22,7 +22,7 @@ The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion to
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We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
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#### This Model
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This is an intermediate checkpoint with
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#### Releases Schedule
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We will be rolling out intermediate checkpoints following the below schedule. We also include some baseline models for comparison.
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We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
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#### This Model
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This is an intermediate checkpoint with 995K steps and 2003B tokens.
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#### Releases Schedule
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We will be rolling out intermediate checkpoints following the below schedule. We also include some baseline models for comparison.
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