Update README.md

README.md

@@ -24,8 +24,6 @@ frameworks:
 [Github](https://github.com/DataoceanAI/Dolphin)
 [Huggingface](https://huggingface.co/DataoceanAI)
 [Modelscope](https://www.modelscope.cn/organization/DataoceanAI)
-[Openi](https://openi.pcl.ac.cn/DataoceanAI/Dolphin)
-[Wisemodel](https://wisemodel.cn/models/lijp22/dolphin-base)
 
 **Dolphin-Fangyan** is a multi-dialect ASR model developed by Dataocean AI and Tsinghua University, with a strong focus on Chinese dialect recognition and real-world deployment scenarios. Compared with the previous Dolphin series, Dolphin-Fangyan introduces significant improvements in tokenizer design, dialect-balanced training, streaming capability, hotword biasing, and deployment efficiency.
 
@@ -95,8 +93,8 @@ Currently, Dolphin-Fangyan provides multiple model sizes optimized for different
 
 |  Model  | Parameters  | Hotwords |
 |:------:|:----------:|:----------:|
-|  base.fangyan  |    74 M   | ❌ |
-|  base.fangyan.streaming  |    74 M   |❌  |
+|  base.fangyan  |    0.1 B   | ❌ |
+|  base.fangyan.streaming  |    0.1 B   |❌  |
 | small.fangyan  |   0.4 B      | Encoder-biased Hotwords |
 | small.fangyan.streaming  |   0.4 B      | Encoder-biased Hotwords |
 | small.fangyan.prompt |   0.4 B      | Prompt-based Hotwords |