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README.md
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@@ -14,7 +14,9 @@ MicroThinker-1B-Preview, a new model fine-tuned from the [huihui-ai/Llama-3.2-3B
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This is just a test, but the performance is quite good. Now, I'll introduce the test environment.
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The model was trained using 1 RTX 4090 GPU(24GB)
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The [SFT (Supervised Fine-Tuning)](https://github.com/modelscope/ms-swift) process is divided into several steps, and no code needs to be written.
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1. Create the environment.
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This is just a test, but the performance is quite good. Now, I'll introduce the test environment.
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The model was trained using 1 RTX 4090 GPU(24GB) .
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The fine-tuning process used only 20,000 records from each dataset.
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The [SFT (Supervised Fine-Tuning)](https://github.com/modelscope/ms-swift) process is divided into several steps, and no code needs to be written.
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1. Create the environment.
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