35 lines
960 B
Markdown
35 lines
960 B
Markdown
## 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
|
|
```
|
|
|
|
### Evaluate hf
|
|
|
|
```
|
|
python benchmark/mmmu/bench_hf.py --model-path Qwen/Qwen2-VL-7B-Instruct
|
|
```
|