adapt to sglang v0.5.2rc1 on dcu

benchmark/mmmu/README.md

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+## Run evaluation
+
+### Evaluate sglang
+
+Host the VLM:
+
+```
+python -m sglang.launch_server --model-path Qwen/Qwen2-VL-7B-Instruct --port 30000
+```
+
+It's recommended to reduce the memory usage by appending something like `--mem-fraction-static 0.6` to the command above.
+
+Benchmark:
+
+```
+python benchmark/mmmu/bench_sglang.py --port 30000 --concurrency 16
+```
+
+You can adjust the `--concurrency` to control the number of concurrent OpenAI calls.
+
+You can use `--lora-path` to specify the LoRA adapter to apply during benchmarking. E.g.,
+```
+# Launch server with LoRA enabled
+python -m sglang.launch_server --model-path microsoft/Phi-4-multimodal-instruct --port 30000 --trust-remote-code --disable-radix-cache --lora-paths vision=<LoRA path>
+
+# Apply LoRA adapter during inferencing
+python -m benchmark/mmmu/bench_sglang.py --concurrency 8 --lora-path vision
+```
+
+You can use `--response-answer-regex` to specify how to extract the answer from the response string. E.g.,
+```
+python3 -m sglang.launch_server --model-path zai-org/GLM-4.1V-9B-Thinking --reasoning-parser glm45
+
+python3 bench_sglang.py --response-answer-regex "<\|begin_of_box\|>(.*)<\|end_of_box\|>" --concurrency 64
+```
+
+You can use `--extra-request-body` to specify additional OpenAI request parameters. E.g.,
+```
+python3 bench_sglang.py --extra-request-body '{"max_new_tokens": 128, "temperature": 0.01}'
+```
+
+### Evaluate hf
+
+```
+python benchmark/mmmu/bench_hf.py --model-path Qwen/Qwen2-VL-7B-Instruct
+```