TinyLlama 1.1B https://github.com/jzhang38/TinyLlama The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens . With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100 40G GPUs 🚀🚀. The training has started on 2023 09 01. 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. This Model This is an intermediate checkpoint with 50K steps and 105B tokens. Releases Schedule We will be rolling out intermediate checkpoints following the below schedule. We also include some baseline models for comparison. Date HF Checkpoint Tokens Step HellaSwag Acc norm Baseline StableLM Alpha 3B 800B 38.31 Baseline Pythia 1B intermediate step 50k 105b 105B 50k 42.04 Baseline Pythia 1B 300B 143k 47.16 2023 09 04 TinyLlama 1.1B intermediate step 50k 105b 105B 50k 43.50 2023 09 16 500B 2023 10 01 1T 2023 10 16 1.5T 2023 10 31 2T 2023 11 15 2.5T 2023 12 01 3T How…
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