From 61a8b42c001442b947f7b114ed232dfd65764e2e Mon Sep 17 00:00:00 2001 From: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com> Date: Thu, 18 Jun 2026 19:40:56 +0100 Subject: [PATCH] docs(minimax-m3): add MMMU-Pro accuracy to B200 benchmark card (#28668) --- .../snippets/configs/MiniMaxAI/minimax-m3-benchmarks.jsx | 2 +- docs_new/src/snippets/configs/MiniMaxAI/minimax-m3.jsx | 8 ++++++++ 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/docs_new/src/snippets/configs/MiniMaxAI/minimax-m3-benchmarks.jsx b/docs_new/src/snippets/configs/MiniMaxAI/minimax-m3-benchmarks.jsx index 32166df7b..beeca9ef1 100644 --- a/docs_new/src/snippets/configs/MiniMaxAI/minimax-m3-benchmarks.jsx +++ b/docs_new/src/snippets/configs/MiniMaxAI/minimax-m3-benchmarks.jsx @@ -41,7 +41,7 @@ export const benchmarks = [ { workload: { dataset: "random", isl: 2048, osl: 256, max_concurrency: 64, num_prompts: 128 }, ttft_ms: 1580, tpot_ms: 24.1, tokens_per_sec_per_gpu: 265 }, ], - accuracy: { gpqa_pct: 89.1, gsm8k_pct: 96.5 }, // 2026-06-15, sgl-eval --thinking, recommended sampling (temp 1.0/top_p 0.95), tp8. GSM8K full 1319 = 96.51% (greedy 96.89%). GPQA Diamond 198, n-repeats 4 = pass@1[avg-of-4] 89.14% +/-1.73% (pass@4 95.45%, majority@4 93.52%). + accuracy: { gpqa_pct: 89.1, gsm8k_pct: 96.5, mmmu_pro_pct: 72.7 }, // 2026-06-15, sgl-eval --thinking, recommended sampling (temp 1.0/top_p 0.95), tp8. GSM8K full 1319 = 96.51% (greedy 96.89%). GPQA Diamond 198, n-repeats 4 = pass@1[avg-of-4] 89.14% +/-1.73% (pass@4 95.45%, majority@4 93.52%). MMMU-Pro 2026-06-18, sgl-eval "standard (10 options)" test split, full 1730, single-shot 72.66% (thinking, temp 1.0/top_p 0.95). }, { // Hopper H200: bf16 build (MXFP8 is Blackwell-only) at tp8, built-in Triton diff --git a/docs_new/src/snippets/configs/MiniMaxAI/minimax-m3.jsx b/docs_new/src/snippets/configs/MiniMaxAI/minimax-m3.jsx index f54774953..0125fb5a7 100644 --- a/docs_new/src/snippets/configs/MiniMaxAI/minimax-m3.jsx +++ b/docs_new/src/snippets/configs/MiniMaxAI/minimax-m3.jsx @@ -71,6 +71,13 @@ sgl-eval run gpqa \\ --model {{MODEL_NAME}} \\ --temperature 1.0 --top-p 0.95 \\ --thinking --n-repeats 4 --max-tokens 40960`, + mmmu_pro_pct: +`pip install git+https://github.com/sgl-project/sgl-eval +sgl-eval run mmmu_pro \\ + --base-url http://{{CURL_HOST}}:{{CURL_PORT}}/v1 \\ + --model {{MODEL_NAME}} \\ + --temperature 1.0 --top-p 0.95 \\ + --thinking`, }, numPromptsByConc: { 24: 24, 64: 128 }, }, @@ -78,6 +85,7 @@ sgl-eval run gpqa \\ accuracyLabels: [ ["gpqa_pct", "GPQA Diamond", "%"], ["gsm8k_pct", "GSM8K", "%"], + ["mmmu_pro_pct", "MMMU-Pro", "%"], ], dockerImages: {