Загрузка видео...

Не удалось загрузить видео

На главную

llama.vscode (powered by Qwen Coder)

77,488 просмотров • 1 год назад •via X (Twitter)

Комментарии: 9

Фото профиля Georgi Gerganov
Georgi Gerganov1 год назад

This is a lightweight and very efficient VS Code extension using llama.cpp directly to provide local LLM-assisted code and text completions:

Фото профиля Georgi Gerganov
Georgi Gerganov1 год назад

The llama.cpp server provides unique context reuse techniques that allow you to efficiently use large contexts to enhance the completions based on the contents of your codebase. The setup is simple, no RAG is necessary and the performance is good even on low-end hardware. Enjoy!

Фото профиля malico.
malico.1 год назад

nvim?? 🥹🥹

Фото профиля Georgi Gerganov
Georgi Gerganov1 год назад

i got you pal

Фото профиля Daniel Nguyen ⚡
Daniel Nguyen ⚡1 год назад

Great work. Thanks

Фото профиля Neil Chudleigh
Neil Chudleigh1 год назад

Lets go! Nice work.

Фото профиля Nikita 🤙
Nikita 🤙1 год назад

Great start!

Фото профиля Raymond Weitekamp
Raymond Weitekamp1 год назад

wow - thank you so much for giving the different suggestions for different hardware (RAM). two follow up questions: - can i do this on PC? (my PC happens to have way more GPU/RAM) - from a purely personal perspective - what is the minimum "useful" RAM for this?

Фото профиля Georgi Gerganov
Georgi Gerganov1 год назад

Yes, this runs on Mac, Linux and Windows - see the setup instructions in the readme. The 7B models are pretty good, so if you can run this (i.e. ~8GB of VRAM) then go for this. Otherwise - use the 3B model (~4GB)

Похожие видео