make default be the llama2 tokenizer
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@@ -46,8 +46,8 @@ wandb_run_name = "run" + datetime.now().strftime("%Y_%m_%d_%H_%M_%S")
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# data
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batch_size = 128 # if gradient_accumulation_steps > 1, this is the micro-batch size
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max_seq_len = 256
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vocab_source = "custom" # llama2|custom; use Lllama 2 vocab from Meta, or custom trained
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vocab_size = 512
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vocab_source = "llama2" # llama2|custom; use Lllama 2 vocab from Meta, or custom trained
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vocab_size = 32000 # the Llama 2 tokenizer has 32K tokens
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# model
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dim = 288
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n_layers = 6
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