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