LFM2.5-Encoders: Fast at Long Context, Even on CPU

Benchmark Model Rank Results
natural-language-inference-on-multinli-devLFM2.5-Encoder-350M#9Matched: 89.03
natural-language-inference-on-qnli-glue-devLFM2.5-Encoder-350M#9Accuracy: 93.97
natural-language-inference-on-rte-glue-devLFM2.5-Encoder-350M#11Accuracy: 75.23
question-answering-on-boolqLFM2.5-Encoder-350M#39Accuracy: 81.52
sentiment-analysis-on-sst-2-binary-classificationLFM2.5-Encoder-350M#93Dev Accuracy: 95.11