Update README.md

README.md

@@ -35,26 +35,29 @@ We use a variety of Triton-implemented operation kernels—approximately 70%—t
 
 |             | Usage                                                  | Nvidia                                                       |
 | ----------- | ------------------------------------------------------ | ------------------------------------------------------------ |
-| Basic Image | basic software environment that supports model running | 'docker pull docker pull flagrelease-registry.cn-beijing.cr.aliyuncs.com/flagrelease/flagrelease:deepseek-flagos-nvidia |
+| Basic Image | basic software environment that supports model running | 'docker pull flagrelease-registry.cn-beijing.cr.aliyuncs.com/flagrelease/flagrelease:deepseek-flagos-nvidia |
+
 # Evaluation Results
 
 ## Benchmark Result 
 
-| Metrics            | MiniCPM_o_2.6-H100-CUDA | MiniCPM_o_2.6-H100-FlagOS |
-|:-------------------|-----------------------|--------------------------|
-| mmmu_val | 48.11 | 48.33 |
-| math_vision_test | 22.89 | 22.30 |
-| ocrbench_test | 85.80 | 85.70 |
-| blink_val | 54.87 | 55.81 |
-| mmmvet_v2 | 57.66 | 59.03 |
-| mmmu_pro_vision_test | 70.46 | 69.77 |
-| mmmu_pro_standard_test | 30.46 | 30.81 |
-| cmmmu_val | 39.33 | 39.33 |
-| cii_bench_test | 50.07 | 50.33 |
+| Metrics                | MiniCPM_o_2.6-H100-CUDA | MiniCPM_o_2.6-H100-FlagOS |
+| :--------------------- | ----------------------- | ------------------------- |
+| mmmu_val               | 48.11                   | 48.33                     |
+| math_vision_test       | 22.89                   | 22.30                     |
+| ocrbench_test          | 85.80                   | 85.70                     |
+| blink_val              | 54.87                   | 55.81                     |
+| mmmvet_v2              | 57.66                   | 59.03                     |
+| mmmu_pro_vision_test   | 70.46                   | 69.77                     |
+| mmmu_pro_standard_test | 30.46                   | 30.81                     |
+| cmmmu_val              | 39.33                   | 39.33                     |
+| cii_bench_test         | 50.07                   | 50.33                     |
 
 
 # How to Run Locally
+
 ## 📌 Getting Started
+
 ### Download open-source weights
 
 ```
@@ -89,32 +92,6 @@ cd ../
 
 ### Modify the configuration
 
-```
-cd FlagScale/examples/minicpm_o_2.6/conf
-# Modify the configuration in config_minicpm_o_2.6.yaml
-defaults:
-  - _self_
-  - serve: minicpm_o_2.6
-experiment:
-  exp_name: minicpm_o_2.6
-  exp_dir: outputs/${experiment.exp_name}
-  task:
-    type: serve
-  deploy:
-    use_fs_serve: false
-  runner:
-    ssh_port: 22
-  envs:
-    CUDA_DEVICE_MAX_CONNECTIONS: 1
-  cmds:
-    before_start: source /root/miniconda3/bin/activate flagscale-inference && export USE_FLAGGEMS=1
-action: run
-hydra:
-  run:
-    dir: ${experiment.exp_dir}/hydra
-    
-### Modify the configuration
-
 ```
 cd FlagScale/examples/minicpm_o_2.6/conf
 # Modify the configuration in config_minicpm_o_2.6.yaml
@@ -139,6 +116,7 @@ hydra:
   run:
     dir: ${experiment.exp_dir}/hydra
 ```
+
 ```
 cd FlagScale/examples/minicpm_o_2.6/conf/serve
 # Modify the configuration in minicpm_o_2.6.yaml
@@ -157,6 +135,7 @@ cd FlagScale/examples/minicpm_o_2.6/conf/serve
     enable_chunked_prefill: true
 
 ```
+
 ```
 # install flagscale
 cd FlagScale/
@@ -164,12 +143,13 @@ pip install .
 
 #【Verifiable on a single machine】
 ```
+
 ### Serve
 
 ```
 flagscale serve <Model>
 ```
-# 
+
 # Contributing
 
 We warmly welcome global developers to join us:
@@ -182,10 +162,11 @@ We warmly welcome global developers to join us:
 # 📞 Contact Us
 
 Scan the QR code below to add our WeChat group
+
 send "FlagRelease"
 
 ![WeChat](image/group.png)
 
 # License
 
-This project and related model weights are licensed under the MIT License.
+This project and related model weights are licensed under the MIT License.