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@ -395,9 +395,6 @@ See [examples/README.md](examples/README.md) for advanced usage (including distr
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### Fine-Tuning with LLaMA Board GUI (powered by [Gradio](https://github.com/gradio-app/gradio))
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> [!IMPORTANT]
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> LLaMA Board GUI only supports training on a single GPU.
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#### Use local environment
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```bash
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@ -451,7 +448,7 @@ export USE_MODELSCOPE_HUB=1 # `set USE_MODELSCOPE_HUB=1` for Windows
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Train the model by specifying a model ID of the ModelScope Hub as the `model_name_or_path`. You can find a full list of model IDs at [ModelScope Hub](https://modelscope.cn/models), e.g., `LLM-Research/Meta-Llama-3-8B-Instruct`.
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### Use W&B Logging
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### Use W&B Logger
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To use [Weights & Biases](https://wandb.ai) for logging experimental results, you need to add the following arguments.
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@ -460,6 +457,8 @@ report_to: wandb
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run_name: test_run # optional
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```
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Set `WANDB_API_KEY` to [your key](https://wandb.ai/authorize) when launching training tasks to log in with your W&B account.
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## Projects using LLaMA Factory
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If you have a project that should be incorporated, please contact via email or create a pull request.
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@ -395,9 +395,6 @@ CUDA_VISIBLE_DEVICES=0 llamafactory-cli export examples/merge_lora/llama3_lora_s
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### LLaMA Board 可视化微调(由 [Gradio](https://github.com/gradio-app/gradio) 驱动)
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> [!IMPORTANT]
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> LLaMA Board 可视化界面目前仅支持单 GPU 训练。
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#### 使用本地环境
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```bash
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@ -458,6 +455,8 @@ report_to: wandb
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run_name: test_run # 可选
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```
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在启动训练任务时,将 `WANDB_API_KEY` 设置为[密钥](https://wandb.ai/authorize)来登录 W&B 账户。
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## 使用了 LLaMA Factory 的项目
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如果您有项目希望添加至下述列表,请通过邮件联系或者创建一个 PR。
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@ -4,8 +4,7 @@ import subprocess
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import sys
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from enum import Enum, unique
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from llamafactory import launcher
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from . import launcher
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from .api.app import run_api
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from .chat.chat_model import run_chat
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from .eval.evaluator import run_eval
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