PLaMo Embedding 1B 日本語版のREADME/Japanese README Model Overview PLaMo Embedding 1B is a Japanese text embedding model developed by Preferred Networks, Inc. It can convert Japanese text input into numerical vectors and can be used for a wide range of applications, including information retrieval, text classification, and clustering. As of early April 2025, it achieved top class scores on JMTEB, a benchmark for Japanese text embedding. It demonstrated particularly outstanding performance, especially in retrieval tasks. PLaMo Embedding 1B is released under the Apache v2.0 license, and you can use it freely, including for commercial purposes. For technical details, please refer to the following Tech Blog post (Ja): https://tech.preferred.jp/ja/blog/plamo embedding 1b/ Usage Requirements Sample Code Note: For encode document and encode query , texts exceeding the model's maximum context length of 4096 will be truncated. Be especially aware that for encode query , a prefix is added internally, making the effective maximum context length slightly shorter. Benchmarks We conducted a performance evaluation using JMTEB, a benchmark for Japanese text embedding. Model Avg. Retrieval STS Classific…
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