Quantization made by Richard Erkhov.
tiny-random-Phi3ForCausalLM - bnb 4bits
Original model description:
library_name: transformers
tags: []
Model Card for Model ID
Code used to generate the model:
1from transformers import Phi3Config, Phi3ForCausalLM, AutoTokenizer
2
3model = Phi3ForCausalLM(Phi3Config(
4 hidden_size=32,
5 intermediate_size=64,
6 num_attention_heads=4,
7 num_hidden_layers=2,
8 num_key_value_heads=4,
9 pad_token_id=32000,
10 sliding_window=2047,
11))
12tokenizer = AutoTokenizer.from_pretrained('microsoft/Phi-3-mini-4k-instruct')
13
14model.push_to_hub('Xenova/tiny-random-Phi3ForCausalLM')
15tokenizer.push_to_hub('Xenova/tiny-random-Phi3ForCausalLM')
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