tiny-random-Phi3ForCausalLM-optimized

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Code used to generate the model:

from transformers import Phi3Config, Phi3ForCausalLM, AutoTokenizer

model = Phi3ForCausalLM(Phi3Config(
    hidden_size=32,
    intermediate_size=64,
    num_attention_heads=4,
    num_hidden_layers=2,
    num_key_value_heads=4,
    pad_token_id=32000,
    sliding_window=2047,
))
tokenizer = AutoTokenizer.from_pretrained('microsoft/Phi-3-mini-4k-instruct')

model.push_to_hub('Xenova/tiny-random-Phi3ForCausalLM')
tokenizer.push_to_hub('Xenova/tiny-random-Phi3ForCausalLM')

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