{"Rank":1,"Model":"gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97}
{"Rank":2,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69}
{"Rank":3,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26}
{"Rank":4,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0}
{"Rank":5,"Model":"gbert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":27.0,"BlurbsClusteringP2P":35.36,"BlurbsClusteringS2S":11.27,"TenKGnadClusteringP2P":37.16,"TenKGnadClusteringS2S":24.23}
{"Rank":6,"Model":"use-cmlm-multilingual<\/a>","Model Size (Million Parameters)":472,"Memory Usage (GB, fp32)":1.76,"Average":26.9,"BlurbsClusteringP2P":29.63,"BlurbsClusteringS2S":15.24,"TenKGnadClusteringP2P":37.1,"TenKGnadClusteringS2S":25.64}
{"Rank":7,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":26.3,"BlurbsClusteringP2P":32.46,"BlurbsClusteringS2S":14.33,"TenKGnadClusteringP2P":36.13,"TenKGnadClusteringS2S":22.26}
{"Rank":8,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":26.29,"BlurbsClusteringP2P":30.59,"BlurbsClusteringS2S":11.57,"TenKGnadClusteringP2P":44.88,"TenKGnadClusteringS2S":18.11}
{"Rank":9,"Model":"gottbert-base<\/a>","Model Size (Million Parameters)":127,"Memory Usage (GB, fp32)":0.47,"Average":21.46,"BlurbsClusteringP2P":34.49,"BlurbsClusteringS2S":8.37,"TenKGnadClusteringP2P":33.66,"TenKGnadClusteringS2S":9.34}
{"Rank":10,"Model":"cross-en-de-roberta-sentence-transformer<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":19.49,"BlurbsClusteringP2P":30.82,"BlurbsClusteringS2S":12.69,"TenKGnadClusteringP2P":23.5,"TenKGnadClusteringS2S":10.94}
{"Rank":11,"Model":"xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":18.94,"BlurbsClusteringP2P":29.84,"BlurbsClusteringS2S":7.29,"TenKGnadClusteringP2P":32.46,"TenKGnadClusteringS2S":6.16}
{"Rank":12,"Model":"komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Average":10.03,"BlurbsClusteringP2P":11.37,"BlurbsClusteringS2S":8.01,"TenKGnadClusteringP2P":15.89,"TenKGnadClusteringS2S":4.84}
{"Rank":13,"Model":"gelectra-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":9.23,"BlurbsClusteringP2P":13.96,"BlurbsClusteringS2S":7.57,"TenKGnadClusteringP2P":11.49,"TenKGnadClusteringS2S":3.91}
{"Rank":14,"Model":"gelectra-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":7.73,"BlurbsClusteringP2P":10.06,"BlurbsClusteringS2S":7.74,"TenKGnadClusteringP2P":9.02,"TenKGnadClusteringS2S":4.11}