ai-agent

Index-1.9B: Multilingual LLM that speeds up global AI prototypes

Name: Index-1.9B: Multilingual LLM that speeds up global AI prototypes
Author: bilibili

Index-1.9B delivers a lightweight, multilingual large language model for founders building NLP features across markets. Backed by 1.0k+ GitHub stars, it’s ready for Python‑based AI projects.

1,034 stars+1★ this week54 forksPythonGuide quality 8/10 · reviewed Oct 10Updated 10/13/2026100% free · open source

What it does

Index-1.9B provides a lightweight multilingual large language model for startups to integrate into their applications

When to use it

•When you need a compact and efficient language model for text classification or generation tasks
•When your application requires support for multiple languages
•When you want to leverage a community-backed model with over 1,000 GitHub stars

Ready-to-paste prompt

python index.py --task generation --input 'Write a product description for a new smartwatch' --language en

Heads up: Ensure you have the necessary computational resources and dependencies installed, as the model requires significant memory and GPU resources to run efficiently

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/index-1-9b && curl -fsSL https://workflowstacks.com/api/skills/index-1-9b/claude-skill -o ~/.claude/skills/index-1-9b/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Index-1.9B: Multilingual LLM that speeds up global AI prototypes works

Codeflow

Free to inspect

Index-1.9B: Multilingual LLM that speeds up global AI prototypes is a very large Python project (~120k lines across 1860 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size

Very large codebase

~120k lines · 1860 code files · days to read — use, don't read

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Python

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
evaluate/run.py
Where the program starts running
3
requirements.txt
Dependencies and the commands it exposes
4
demo/cli_demo.py
A worked example — copy this to get going

What's in each folder

demo/Examples you can copy6 files

evaluate/configs/Configuration1520 files

evaluate/opencompass/Folder470 files

roleplay/Folder23 files

finetune/Folder6 files

evaluate/requirements/Folder5 files

media/Images & static assets20 files

READMEHas testsDocumentedNo CIExamples includedApache-2.0 licenseUpdated this month