Update url.md

README.md

@@ -90,7 +90,7 @@ export VLLM_RANK7_NUMA=7
 
 | 基座模型                                                                      |                                                                               |                                                                                 |                                                                                   |
 | ----------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | ------------------------------------------------------------------------------- | --------------------------------------------------------------------------------- |
-| [internlm2-7b](http://113.200.138.88:18080/aimodels/internlm/internlm2-7b.git)  | [internlm2-20b](http://113.200.138.88:18080/aimodels/internlm/internlm2-20b.git) | [internlm2_5-7b](http://113.200.138.88:18080/aimodels/internlm/internlm2_5-7b.git) | [internlm2_5-20b](http://113.200.138.88:18080/aimodels/internlm/internlm2_5-20b.git) |
+| [internlm2-7b](https://huggingface.co/internlm/internlm2-7b)  | [internlm2-20b](https://huggingface.co/internlm/internlm2-20b) | [internlm2_5-7b](https://huggingface.co/internlm/internlm2_5-7b) | [internlm2_5-20b](https://huggingface.co/internlm/internlm2_5-20b) |
 
 ### 离线批量推理
 
@@ -113,10 +113,7 @@ python benchmarks/benchmark_throughput.py --num-prompts 1 --input-len 32 --outpu
 
 2、使用数据集
 下载数据集：
-
-```bash
-wget http://113.200.138.88:18080/aidatasets/anon8231489123/ShareGPT_Vicuna_unfiltered.git
-```
+[ShareGPT_Vicuna_unfiltered](https://huggingface.co/datasets/Aeala/ShareGPT_Vicuna_unfiltered)
 
 ```bash
 python benchmarks/benchmark_throughput.py --num-prompts 1 --model internlm/internlm2_5-7b --dataset ShareGPT_V3_unfiltered_cleaned_split.json -tp 1 --trust-remote-code --enforce-eager --dtype float16