A Myanmar-language Laya checkpoint trained on Davlan/sib200, with a Gradio demo space from the same author.
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A Myanmar-language Laya checkpoint trained on Davlan/sib200, with a Gradio demo space from the same author.
GitHubMultilingual
An Arabic Laya checkpoint trained on AmazonScience/massive and facebook/xnli, with a companion laya-ara-rag ranking model from the same author.
GitHubMultilingual
Google's LiteRT community conversion of the multilingual checkpoint (tflite), tagged for Android text classification. An English LiteRT build is published alongside it.
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Synthetic Chinese workplace-chat scenarios with frozen inputs, prompts and labels. Reports classification quality, mis-generated tasks and latency: Jev 253 ms vs Laya 151 ms.
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20 real-world Chinese requests × 3 checkpoints, measuring accuracy, latency and whether confidence knows when it is wrong. Includes a Windows/Python 3.14 segfault workaround.
Automotive, embedded, enterprise software and product decisions, three trials each, with questions, expected answers, raw responses and a static HTML report.
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Reproducible zero-shot benchmark on informal Moroccan Darija reviews in Arabic script and Arabizi, positive/neutral/negative. Deterministic seed-42 split, no training.
Postgres FTS, pgvector and RRF first stage; Jev, Voyage, GPT-4.1-mini, GPT-5.6-luna and open-weight Laya as rerankers on two Finnish legal corpora. Recall, MRR, nDCG, latency.
Tested Jev vs Laya (local, MLX) on 40 support tickets, EN + Thai. Jev 90–100%. Laya zero-shot 30–80%. Laya's faster, but not close on accuracy yet.
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GGUF conversions of both the English and multilingual Laya checkpoints for llama.cpp-style local runtimes.
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