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a296723697
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
33 lines
1.2 KiB
Python
33 lines
1.2 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 AutoTokenizer, Qwen3Config, Qwen3ForCausalLM
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if __name__ == "__main__":
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
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config = Qwen3Config(
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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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model = Qwen3ForCausalLM.from_config(config)
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model.save_pretrained("tiny-qwen3")
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tokenizer.save_pretrained("tiny-qwen3")
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model.push_to_hub("llamafactory/tiny-random-qwen3")
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tokenizer.push_to_hub("llamafactory/tiny-random-qwen3")
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