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research#llm📝 BlogAnalyzed: Jan 16, 2026 14:00

Small LLMs Soar: Unveiling the Best Japanese Language Models of 2026!

Published:Jan 16, 2026 13:54
1 min read
Qiita LLM

Analysis

Get ready for a deep dive into the exciting world of small language models! This article explores the top contenders in the 1B-4B class, focusing on their Japanese language capabilities, perfect for local deployment using Ollama. It's a fantastic resource for anyone looking to build with powerful, efficient AI.
Reference

“The article highlights discussions on X (formerly Twitter) about which small LLM is best for Japanese and how to disable 'thinking mode'.”

PermalinkQiita LLM
research#llm📝 BlogAnalyzed: Jan 12, 2026 07:15

2026 Small LLM Showdown: Qwen3, Gemma3, and TinyLlama Benchmarked for Japanese Language Performance

Published:Jan 12, 2026 03:45
1 min read
Zenn LLM

Analysis

This article highlights the ongoing relevance of small language models (SLMs) in 2026, a segment gaining traction due to local deployment benefits. The focus on Japanese language performance, a key area for localized AI solutions, adds commercial value, as does the mention of Ollama for optimized deployment.
Reference

“"This article provides a valuable benchmark of SLMs for the Japanese language, a key consideration for developers building Japanese language applications or deploying LLMs locally."”

PermalinkZenn LLM
Research#LLM👥 CommunityAnalyzed: Jan 10, 2026 16:01

TinyLlama Project: Training a 1.1B Parameter LLM on 3 Trillion Tokens

Published:Sep 4, 2023 12:47
1 min read
Hacker News

Analysis

The TinyLlama project is a significant undertaking, as it seeks to pretrain a model of substantial size on a massive dataset. This could result in a more accessible and potentially more efficient LLM compared to larger models.
Reference

“The project aims to pretrain a 1.1B Llama model on 3T tokens.”

PermalinkHacker News