Add MMMU benchmark results #4491
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@@ -22,9 +22,18 @@ It's recommended to reduce the memory usage by appending something ike `--mem-fr | |
| python benchmark/mmmu/bench_hf.py --model-path Qwen/Qwen2-VL-7B-Instruct | ||
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| Benchmark Results: | ||
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There was a problem hiding this comment. Please write unit tests and integrate them into the CI instead of relying solely on documentation. There was a problem hiding this comment. I believe this CI addresses part of issue #5249 There was a problem hiding this comment. @zhyncs Should I remove all the results currently listed in the README file? There was a problem hiding this comment. Okay. I did remove them now. Thank you. |
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| | Model | SGLang | HuggingFace | | ||
| |-------------------------|--------|-------------| | ||
| | Qwen2-VL-7B-Instruct | 0.476 | - | | ||
| | Qwen2.5-VL-7B-Instruct | 0.477 | - | | ||
| | MiniCPM-V-2.6 | 0.435 | — | | ||
| | MiniCPM-O-2_6 | 0.401 | - | | ||
| | Deepseek-Janus-Pro-7B | 0.373 | - | | ||
| | Deepseek-VL2 | 0.405 | - | | ||
| | Gemma-3-it-4B | 0.41 | - | | ||
| | llama3-llava-next-8b | 0.245 | - | | ||
| | llava-v1.6-mistral-7b-sglang | 0.338 | - | | ||
| | llava-onevision-qwen2-7b-ov | 0.423 | - | | ||
| | Mlama - Llama-3.2-11B-Vision-Instruct | 0.321 | - | | ||
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indeed we can keep the results on benchmark, but remove speed results 😂
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Did @zhyncs ask us not to include the results in the README file? I’m a bit confused.