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6 | 6 |
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7 | 7 | [ERNIE Bot](https://ernie.baidu.com/) | [🤗Hugging Face](https://huggingface.co/baidu) | [AI Studio](https://aistudio.baidu.com/modelsoverview) |
8 | 8 |
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9 | | -📑 [Blog](https://yiyan.baidu.com/blog/posts/ernie4.5) | 📚 [Cookbook](./cookbook/) | 📑 [Paper](https://yiyan.baidu.com/blog/publication/) | 🛠️ [Toolkit](./docs/erniekit.md) |
| 9 | +📑 [Blog](https://yiyan.baidu.com/blog/posts/ernie4.5) | 📚 [Cookbook](./cookbook/) | 📑 [Paper](https://yiyan.baidu.com/blog/publication/) | 🛠️ [Training](./docs/erniekit.md) | ⚡️ [Deploy](https://github.com/PaddlePaddle/FastDeploy) |
| 10 | + |
| 11 | +<a href="https://trendshift.io/repositories/14169" target="_blank"><img src="https://trendshift.io/api/badge/repositories/14169" alt="PaddlePaddle%2FERNIE | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> |
10 | 12 |
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11 | 13 | </div> |
12 | 14 |
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@@ -102,7 +104,7 @@ ERNIE-4.5-300B-A47B-Base surpasses DeepSeek-V3-671B-A37B-Base on 22 out of 28 be |
102 | 104 |
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103 | 105 | ERNIE-4.5-300B-A47B, the post trained model, demonstrates significant strengths in instruction following and knowledge tasks, as evidenced by the state-of-the-art scores on benchmarks such as IFEval, Multi-IF, SimpleQA, and ChineseSimpleQA. The lightweight model ERNIE-4.5-21B-A3B achieves competitive performance compared to Qwen3-30B-A3B, despite having approximately 30% fewer total parameters. |
104 | 106 |
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105 | | -In the non-thinking mode, ERNIE-4.5-VL exhibits outstanding proficiency in visual perception, document and chart understanding, and visual knowledge, performing strongly across a range of established benchmarks. Under the thinking mode, ERNIE-4.5-VL not only demonstrates enhanced reasoning abilities compared to the non-thinking mode, but also retains the strong perception capabilities of the latter. ERNIE-4.5-VL-424B-A47B delivers consistently strong results across the various multimodal evaluation benchmarks. Its thinking mode offers a distinct advantage on challenging benchmarks such as MathVista, MMMU, and VisualPuzzle, while maintaining competitive performance on perception-focused datasets like CV-Bench and RealWorldQA. The lightweight vision-language model ERNIE-4.5-28B-A3B achieves competitive or even superior performance compared to Qwen2.5-VL-7B and Qwen2.5-VL-32B across most benchmarks, despite using significantly fewer activation parameters. Notably, our lightweight model also supports both thinking and non-thinking modes, offering functionalities consistent with ERNIE-4.5-VL-424B-A47B. |
| 107 | +In the non-thinking mode, ERNIE-4.5-VL exhibits outstanding proficiency in visual perception, document and chart understanding, and visual knowledge, performing strongly across a range of established benchmarks. Under the thinking mode, ERNIE-4.5-VL not only demonstrates enhanced reasoning abilities compared to the non-thinking mode, but also retains the strong perception capabilities of the latter. ERNIE-4.5-VL-424B-A47B delivers consistently strong results across the full multimodal evaluation suite. Its thinking mode provides a distinct advantage on reasoning-centric tasks, narrowing or even surpassing the gap to OpenAI-o1 on challenging benchmarks such as MathVista, MMMU, and VisualPuzzle, while maintaining competitive performance on perception-focused datasets like CV-Bench and RealWorldQA. The lightweight vision-language model ERNIE-4.5-VL-28B-A3B achieves competitive or even superior performance compared to Qwen2.5-VL-7B and Qwen2.5-VL-32B across most benchmarks, despite using significantly fewer activation parameters. Notably, our lightweight model also supports both thinking and non-thinking modes, offering functionalities consistent with ERNIE-4.5-VL-424B-A47B. |
106 | 108 |
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107 | 109 | ### Performace of ERNIE-4.5 pre-trained models |
108 | 110 |
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@@ -244,6 +246,12 @@ Discover best-practice guides showcasing ERNIE’s capabilities across multiple |
244 | 246 |
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245 | 247 | </br> |
246 | 248 |
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| 249 | +## Community |
| 250 | + |
| 251 | +| PaddlePaddle WeChat official account | Join the tech discussion group | |
| 252 | +| :---: | :---: | |
| 253 | +| <img src="https://github.com/user-attachments/assets/864a45ec-0773-44b2-a2f1-c0e21e157792" width="150"> | <img src="https://github.com/user-attachments/assets/52e05674-7143-4207-8b19-67247fe88f55" width="150"> | |
| 254 | + |
247 | 255 | ## License |
248 | 256 |
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249 | 257 | The ERNIE 4.5 models are provided under the Apache License 2.0. This license permits commercial use, subject to its terms and conditions. |
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