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https://github.com/hiyouga/LLaMA-Factory.git
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[docs] update readme (#10678)
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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@@ -19,6 +19,8 @@
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[](https://modelscope.cn/studios/hiyouga/LLaMA-Board)
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[](https://novita.ai/templates-library/105981?sharer=88115474-394e-4bda-968e-b88e123d0c47)
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### Used by [Amazon](https://aws.amazon.com/cn/blogs/machine-learning/how-apoidea-group-enhances-visual-information-extraction-from-banking-documents-with-multimodal-models-using-llama-factory-on-amazon-sagemaker-hyperpod/), [NVIDIA](https://build.nvidia.com/spark/llama-factory), [Aliyun](https://help.aliyun.com/zh/pai/use-cases/fine-tune-a-llama-3-model-with-llama-factory), etc.
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----
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<div align="center" markdown="1">
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@@ -33,8 +35,6 @@ https://github.com/user-attachments/assets/9b7033e8-f08a-4c3f-bd33-547896664e6e
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----
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### Used by [Amazon](https://aws.amazon.com/cn/blogs/machine-learning/how-apoidea-group-enhances-visual-information-extraction-from-banking-documents-with-multimodal-models-using-llama-factory-on-amazon-sagemaker-hyperpod/), [NVIDIA](https://developer.nvidia.com/rtx/ai-toolkit), [Aliyun](https://help.aliyun.com/zh/pai/use-cases/fine-tune-a-llama-3-model-with-llama-factory), etc.
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<div align="center" markdown="1">
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### Supporters ❤️
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@@ -975,7 +975,3 @@ If this work is helpful, please kindly cite as:
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## Acknowledgement
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This repo benefits from [PEFT](https://github.com/huggingface/peft), [TRL](https://github.com/huggingface/trl), [QLoRA](https://github.com/artidoro/qlora) and [FastChat](https://github.com/lm-sys/FastChat). Thanks for their wonderful works.
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## Star History
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@@ -19,6 +19,8 @@
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[](https://modelscope.cn/studios/hiyouga/LLaMA-Board)
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[](https://novita.ai/templates-library/105981?sharer=88115474-394e-4bda-968e-b88e123d0c47)
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### 获得[亚马逊](https://aws.amazon.com/cn/blogs/china/a-one-stop-code-free-model-fine-tuning-deployment-platform-based-on-sagemaker-and-llama-factory/)、[英伟达](https://build.nvidia.com/spark/llama-factory)、[阿里云](https://help.aliyun.com/zh/pai/use-cases/fine-tune-a-llama-3-model-with-llama-factory)等的应用。
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----
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<div align="center" markdown="1">
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@@ -33,8 +35,6 @@ https://github.com/user-attachments/assets/604eb626-0a5d-4a62-87e3-14ebade1cd5f
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----
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### 获得[亚马逊](https://aws.amazon.com/cn/blogs/china/a-one-stop-code-free-model-fine-tuning-deployment-platform-based-on-sagemaker-and-llama-factory/)、[英伟达](https://developer.nvidia.cn/rtx/ai-toolkit)、[阿里云](https://help.aliyun.com/zh/pai/use-cases/fine-tune-a-llama-3-model-with-llama-factory)等的应用。
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<div align="center" markdown="1">
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### 赞助商 ❤️
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@@ -977,7 +977,3 @@ swanlab_run_name: test_run # 可选
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## 致谢
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本项目受益于 [PEFT](https://github.com/huggingface/peft)、[TRL](https://github.com/huggingface/trl)、[QLoRA](https://github.com/artidoro/qlora) 和 [FastChat](https://github.com/lm-sys/FastChat),感谢以上诸位作者的付出。
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## Star History
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