pearl ai/Gemma 4 31B it pearl Pearl Gemma 4 instruction tuned checkpoint for Pearl inference and mining. Like our other Pearl certified models, it is intended to run with the Pearl vLLM mining plugin so inference can participate in Pearl mining (Proof of Useful Work alongside useful compute). Layout and runtime fields are in config.json . Project website: https://pearlresearch.ai Pearl repository: https://github.com/pearl research labs/pearl Miner / vLLM plugin docs: https://github.com/pearl research labs/pearl/tree/master/miner Benchmarks Results from our evaluation runs (lmms eval + vLLM, full test sets). Original is google/gemma 4 31B it ; Pearl is this checkpoint. Model GPQA MMLU HumanEval (pass@1) MGSM3 MMMU Pro Vision Video MME (short) Original 77.27% 90.93% 94.70% 88.62% 54.57% 79.0% Pearl 77.37% 90.56% 94.15% 89.09% 54.45% 78.2% \ MMMU Pro Vision (Pearl / Original): lmms eval mmmu pro vision , direct answer prompting, max new tokens=256 , full test set (1730 samples). Google reports 76.9% on MMMU Pro in the Gemma 4 model card; they do not publish the eval recipe for that figure (prompting, subset, or aggregation). Pearl mining (vLLM plugin) Pearl mining means serving throug…
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