TL;DR: This study builds a large Japanese web corpus from the Common Crawl archive, and demonstrated its effectiveness by continual pre-training on Llama 2 7B, 13B, 70B, Mistral 7B v0.1, and Mixtral 8x7B. Abstract: Open Japanese large language models (LLMs) have been trained on the Japanese portions of corpora such as CC-100, mC4, and OSCAR. However, these corpora were not created for the quality
Large language models are commonly trained on a mixture of filtered web data and curated high-quality corpora, such as social media conversations, books, or technical papers. This curation process is believed to be necessary to produce performant models with broad zero-shot generalization abilities. However, as larger models requiring pretraining on trillions of tokens are considered, it is unclea
Common Crawl maintains a free, open repository of web crawl data that can be used by anyone.Common Crawl is a 501(c)(3) non–profit founded in 2007. We make wholesale extraction, transformation and analysis of open web data accessible to researchers.Overview Over 300 billion pages spanning 15 years.Free and open corpus since 2007.Cited in over 10,000 research papers.3–5 billion new pages added ea
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Welcome to vLLM¶ Easy, fast, and cheap LLM serving for everyone Star Watch Fork vLLM is a fast and easy-to-use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. Where to get started with vLLM depends on the type of user. If you are looking to: Run
Databases EverywhereTurso is the lightweight database that scales to millions of instances. Build agents, AI assistants, and intelligent apps by deploying databases everywhere: on servers, browsers, and devices, just like files. Turso is a complete SQLite drop-in replacement, built for the agentic future. Why Agents Need a New DatabaseAgents will exist by the trillions and run everywhere. LLMs are
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現代最強のパッケージマネージャNixを知ろう！ Nixって何？と疑問に思っている方に向けて、Nixのコンセプトと仕組みを解説します。 後編: 『Nix入門: ハンズオン編』 https://zenn.dev/asa1984/books/nix-hands-on
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