optimum-intel-internal-testing/tiny-random-mistral3

import os
from transformers import (
    AutoConfig,
    AutoModelForImageTextToText,
    AutoProcessor,
    AutoTokenizer,
)

model_id = "mistralai/Mistral-Small-3.1-24B-Instruct-2503"
config = AutoConfig.from_pretrained(model_id)

config.text_config.num_hidden_layers = 2
config.text_config.hidden_size = 8
config.text_config.intermediate_size = 64
config.text_config.num_attention_heads = 8
config.text_config.num_key_value_heads = 4
config.text_config.head_dim = 32

config.vision_config.num_hidden_layers = 2
config.vision_config.hidden_size = 128
config.vision_config.intermediate_size = 64
config.vision_config.num_attention_heads = 4
config.vision_config.head_dim = 32

model = AutoModelForImageTextToText.from_config(config)
tokenizer = AutoTokenizer.from_pretrained(model_id)
processor = AutoProcessor.from_pretrained(model_id)

output_dir = "./tiny-random-mistral3"
os.makedirs(output_dir, exist_ok=True)
model.save_pretrained(output_dir)
tokenizer.save_pretrained(output_dir)
processor.save_pretrained(output_dir)