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# Copyright 2025 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from transformers import Llama4Config, Llama4ForConditionalGeneration, Llama4TextConfig, Llama4VisionConfig
if __name__ == "__main__":
vision_config = Llama4VisionConfig(
hidden_size=1408,
image_size=336,
intermediate_size=5632,
num_attention_heads=16,
num_hidden_layers=4,
vision_output_dim=4096,
)
text_config = Llama4TextConfig(
hidden_size=512,
intermediate_size=1024,
intermediate_size_mlp=1024,
num_hidden_layers=4,
num_attention_heads=8,
num_key_value_heads=2,
head_dim=512 // 8,
num_local_experts=2,
)
config = Llama4Config(vision_config=vision_config, text_config=text_config)
model = Llama4ForConditionalGeneration._from_config(config)
model.save_pretrained("tiny-llama4")
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