ai-agent

awesome-japanese-llm: Boost Japanese AI

Name: awesome-japanese-llm: Boost Japanese AI
Author: llm-jp

Get an overview of Japanese LLMs with awesome-japanese-llm, for founders working with Japanese language models, backed by 1.4k+ GitHub stars

intermediate⏱ 30 minutes💵 Free (LLM data costs may apply)

1,423 stars45 forksTypeScriptHealth Score 9/10Updated 8/2/2026100% free · open source

What it is

Use awesome-japanese-llm to get an overview of Japanese language models.

What you can make with it

Build a Japanese chatbot, like a customer support chatbot that answers basic questions in Japanese.

How it helps

Awesome-japanese-llm provides a clear understanding of Japanese LLMs, which can help founders make informed decisions when working with these models.

Real use case example

"A founder building a chatbot to support Japanese-speaking customers can use awesome-japanese-llm to learn about different Japanese LLMs, choose the best one, and integrate it into their chatbot. They can then test and fine-tune the chatbot to provide better support to their customers. After a week of development, they can launch the chatbot and start receiving feedback from customers."

If you're new

Beginners should pick up this skill when they need to learn about Japanese language models and want a clear overview of what's available.

If you're senior

Senior engineers and professionals should use this skill as a reference when working with Japanese LLMs for the first time or when trying to compare different models.

Common confusion cleared up

This skill does not provide a Japanese LLM model itself, but rather an overview of what's available, so it's not meant to be used as a standalone solution for building chatbots.

Best inside these AI tools

Any AI ClientClaude Desktop

Pairs with

Claude APIGPT (ChatGPT)Any AI Client

Why we list it on WorkflowStacks: This skill is included in the marketplace because it offers a comprehensive overview of Japanese LLMs, which can be particularly useful for those new to the field.

What it does

Awesome-japanese-llm provides a curated list of Japanese language models, allowing founders to easily discover and compare different models for their specific use cases.

Install / run

Clone the repository using the command `git clone https://github.com/llm-jp/awesome-japanese-llm.git`

When to use it

•When building a Japanese language-based chatbot or virtual assistant
•When evaluating Japanese language models for document translation or summarization
•When researching Japanese language models for text generation or sentiment analysis

Quick start

1Explore the `README.md` file for an overview of the available Japanese LLMs
2Check the `table.md` file for a comparison of different Japanese language models
3Use the `CONTRIBUTING.md` file as a guide to contribute to the project
4Search for specific models using the GitHub repository's search function
5Browse the `awesome-japanese-llm` repository issues for discussions on Japanese LLMs

Ready-to-paste prompt

Search for 'Japanese BERT' in the awesome-japanese-llm repository to find relevant models and implementations

Heads up: Note that some Japanese language models may require specific runtime environments or libraries, such as TypeScript, to function properly

Saves to your device

Topics

foundation-models

generative-ai

generative-model

generative-models

japanese

japanese-language

japanese-language-model

japanese-llm

language-model

language-models

large-language-model

large-language-models

llm

llm-japanese

llms

multimodal

vision-and-language

vision-language

vision-language-model

How awesome-japanese-llm: Boost Japanese AI works

Codeflow

Free to inspect

Awesome-japanese-llm: Boost Japanese AI is mostly documents (16 doc files, 5 small scripts) — something you read, not something you run. There is nothing to install. Last commit this month, Apache-2.0 license.

Size

Mostly documents

16 documents · 5 small scripts · ~2 h to skim

Setup

Nothing to install

A guide / curated list. Just read it and follow the links.

Runs on

Nowhere — you read it

A reading resource, not a program.

TypeScript 86%CSS 14%

Where to start reading