mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-09-18 11:02:49 +08:00
[assets] update readme (#9137)
This commit is contained in:
parent
28a625bf5b
commit
2df33d399e
@ -13,7 +13,7 @@
|
||||
|
||||
[](https://colab.research.google.com/drive/1eRTPn37ltBbYsISy9Aw2NuI2Aq5CQrD9?usp=sharing)
|
||||
[](https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory)
|
||||
[](https://www.lab4ai.cn/course/detail?id=7c13e60f6137474eb40f6fd3983c0f46?utm_source=LLaMA-Factory)
|
||||
[](https://www.lab4ai.cn/course/detail?id=7c13e60f6137474eb40f6fd3983c0f46&utm_source=LLaMA-Factory)
|
||||
[](https://www.llamafactory.com.cn/?utm_source=LLaMA-Factory)
|
||||
[](https://huggingface.co/spaces/hiyouga/LLaMA-Board)
|
||||
[](https://modelscope.cn/studios/hiyouga/LLaMA-Board)
|
||||
@ -52,7 +52,7 @@ Choose your path:
|
||||
- **Local machine**: Please refer to [usage](#getting-started)
|
||||
- **PAI-DSW (free trial)**: https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory
|
||||
- **Alaya NeW (cloud GPU deal)**: https://docs.alayanew.com/docs/documents/useGuide/LLaMAFactory/mutiple/?utm_source=LLaMA-Factory
|
||||
- **Official Course**: https://www.lab4ai.cn/course/detail?id=7c13e60f6137474eb40f6fd3983c0f46?utm_source=LLaMA-Factory
|
||||
- **Official Course**: https://www.lab4ai.cn/course/detail?id=7c13e60f6137474eb40f6fd3983c0f46&utm_source=LLaMA-Factory
|
||||
- **LLaMA Factory Online**: https://www.llamafactory.com.cn/?utm_source=LLaMA-Factory
|
||||
|
||||
> [!NOTE]
|
||||
@ -104,10 +104,11 @@ Choose your path:
|
||||
|
||||
## Blogs
|
||||
|
||||
- 💡 [Easy Dataset × LLaMA Factory: Enabling LLMs to Efficiently Learn Domain Knowledge](https://buaa-act.feishu.cn/wiki/GVzlwYcRFiR8OLkHbL6cQpYin7g) (English)
|
||||
- [Fine-tune a mental health LLM using LLaMA-Factory](https://www.lab4ai.cn/project/detail?id=25cce32ec131497b9e06a93336a0817f&type=project&utm_source=LLaMA-Factory) (Chinese)
|
||||
- [Fine-tune GPT-OSS for Role-Playing using LLaMA-Factory](https://docs.llamafactory.com.cn/docs/documents/best-practice/gptroleplay/?utm_source=LLaMA-Factory) (Chinese)
|
||||
- [A One-Stop Code-Free Model Reinforcement Learning and Deployment Platform based on LLaMA-Factory and EasyR1](https://aws.amazon.com/cn/blogs/china/building-llm-model-hub-based-on-llamafactory-and-easyr1/) (Chinese)
|
||||
- [How Apoidea Group enhances visual information extraction from banking documents with multimodal models using LLaMA-Factory on Amazon SageMaker HyperPod](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/) (English)
|
||||
- [Easy Dataset × LLaMA Factory: Enabling LLMs to Efficiently Learn Domain Knowledge](https://buaa-act.feishu.cn/wiki/GVzlwYcRFiR8OLkHbL6cQpYin7g) (English)
|
||||
|
||||
<details><summary>All Blogs</summary>
|
||||
|
||||
|
@ -13,7 +13,7 @@
|
||||
|
||||
[](https://colab.research.google.com/drive/1d5KQtbemerlSDSxZIfAaWXhKr30QypiK?usp=sharing)
|
||||
[](https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory)
|
||||
[](https://www.lab4ai.cn/course/detail?id=7c13e60f6137474eb40f6fd3983c0f46?utm_source=LLaMA-Factory)
|
||||
[](https://www.lab4ai.cn/course/detail?id=7c13e60f6137474eb40f6fd3983c0f46&utm_source=LLaMA-Factory)
|
||||
[](https://www.llamafactory.com.cn/?utm_source=LLaMA-Factory)
|
||||
[](https://huggingface.co/spaces/hiyouga/LLaMA-Board)
|
||||
[](https://modelscope.cn/studios/hiyouga/LLaMA-Board)
|
||||
@ -54,7 +54,7 @@ https://github.com/user-attachments/assets/43b700c6-a178-41db-b1f8-8190a5d3fcfc
|
||||
- **本地机器**:请见[如何使用](#如何使用)
|
||||
- **PAI-DSW(免费试用)**:https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory
|
||||
- **九章智算云(算力优惠活动)**:https://docs.alayanew.com/docs/documents/useGuide/LLaMAFactory/mutiple/?utm_source=LLaMA-Factory
|
||||
- **官方课程**:https://www.lab4ai.cn/course/detail?id=7c13e60f6137474eb40f6fd3983c0f46?utm_source=LLaMA-Factory
|
||||
- **官方课程**:https://www.lab4ai.cn/course/detail?id=7c13e60f6137474eb40f6fd3983c0f46&utm_source=LLaMA-Factory
|
||||
- **LLaMA Factory Online(在线微调)**:https://www.llamafactory.com.cn/?utm_source=LLaMA-Factory
|
||||
|
||||
> [!NOTE]
|
||||
@ -106,10 +106,11 @@ https://github.com/user-attachments/assets/43b700c6-a178-41db-b1f8-8190a5d3fcfc
|
||||
|
||||
## 官方博客
|
||||
|
||||
- 💡 [Easy Dataset × LLaMA Factory: 让大模型高效学习领域知识](https://buaa-act.feishu.cn/wiki/KY9xwTGs1iqHrRkjXBwcZP9WnL9)(中文)
|
||||
- [使用 LLaMA-Factory 微调心理健康大模型](https://www.lab4ai.cn/project/detail?id=25cce32ec131497b9e06a93336a0817f&type=project&utm_source=LLaMA-Factory)(中文)
|
||||
- [使用 LLaMA-Factory 构建 GPT-OSS 角色扮演模型](https://docs.llamafactory.com.cn/docs/documents/best-practice/gptroleplay/?utm_source=LLaMA-Factory)(中文)
|
||||
- [基于 LLaMA-Factory 和 EasyR1 打造一站式无代码大模型强化学习和部署平台 LLM Model Hub](https://aws.amazon.com/cn/blogs/china/building-llm-model-hub-based-on-llamafactory-and-easyr1/)(中文)
|
||||
- [通过亚马逊 SageMaker HyperPod 上的 LLaMA-Factory 增强多模态模型银行文档的视觉信息提取](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/)(英文)
|
||||
- [Easy Dataset × LLaMA Factory: 让大模型高效学习领域知识](https://buaa-act.feishu.cn/wiki/KY9xwTGs1iqHrRkjXBwcZP9WnL9)(中文)
|
||||
|
||||
<details><summary>全部博客</summary>
|
||||
|
||||
|
Binary file not shown.
Before Width: | Height: | Size: 65 KiB After Width: | Height: | Size: 74 KiB |
Binary file not shown.
Before Width: | Height: | Size: 119 KiB After Width: | Height: | Size: 128 KiB |
Loading…
x
Reference in New Issue
Block a user