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- ---
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- license: mit
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+ ## Installation
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+ Use the github repo or install via pip: https://github.com/dleemiller/WordLlama
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+ ```python
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+ pip install wordllama
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+ ```
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+ ## MTEB Results (l2_supercat)
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+ | Metric | WL64 | WL128 | WL256 (X) | WL512 | WL1024 | GloVe 300d | Komninos | all-MiniLM-L6-v2 |
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+ |------------------------|-------------|--------------|--------------|--------------|---------------|------------|----------|------------------|
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+ | Clustering | 30.27 | 32.20 | 33.25 | 33.40 | 33.62 | 27.73 | 26.57 | 42.35 |
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+ | Reranking | 50.38 | 51.52 | 52.03 | 52.32 | 52.39 | 43.29 | 44.75 | 58.04 |
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+ | Classification | 53.14 | 56.25 | 58.21 | 59.13 | 59.50 | 57.29 | 57.65 | 63.05 |
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+ | Pair Classification | 75.80 | 77.59 | 78.22 | 78.50 | 78.60 | 70.92 | 72.94 | 82.37 |
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+ | STS | 66.24 | 67.53 | 67.91 | 68.22 | 68.27 | 61.85 | 62.46 | 78.90 |
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+ | CQA DupStack | 18.76 | 22.54 | 24.12 | 24.59 | 24.83 | 15.47 | 16.79 | 41.32 |
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+ | SummEval | 30.79 | 29.99 | 30.99 | 29.56 | 29.39 | 28.87 | 30.49 | 30.81 |
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+
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+ ---
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+ license: mit
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+ ---