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update examples
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@@ -28,6 +28,12 @@ CUDA_VISIBLE_DEVICES=0 llamafactory-cli train examples/lora_single_gpu/llama3_lo
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CUDA_VISIBLE_DEVICES=0 llamafactory-cli train examples/lora_single_gpu/llama3_lora_sft.yaml
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```
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#### 多模态指令监督微调
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```bash
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CUDA_VISIBLE_DEVICES=0 llamafactory-cli train examples/lora_single_gpu/llava1_5_lora_sft.yaml
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```
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#### 奖励模型训练
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```bash
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@@ -52,12 +58,6 @@ CUDA_VISIBLE_DEVICES=0 llamafactory-cli train examples/lora_single_gpu/llama3_lo
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CUDA_VISIBLE_DEVICES=0 llamafactory-cli train examples/lora_single_gpu/llama3_lora_orpo.yaml
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```
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#### 多模态指令监督微调
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```bash
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CUDA_VISIBLE_DEVICES=0 llamafactory-cli train examples/lora_single_gpu/llava1_5_lora_sft.yaml
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```
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#### 预处理数据集
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对于大数据集有帮助,在配置中使用 `tokenized_path` 以加载预处理后的数据集。
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