็™ป้Œฒใ—ใฆๆ‹›ๅพ…ใƒชใƒณใ‚ฏใ‚’ๅ…ฑๆœ‰ใ™ใ‚‹ใจใ€ๅ‹•็”ปๅ†็”Ÿๅ ฑ้…ฌใจ็ดนไป‹ๅ ฑ้…ฌใ‚’็ฒๅพ—ใงใใพใ™ใ€‚

Akshay ๐Ÿš€
@akshay_pachaar
Simplifying LLMs, AI Agents, RAG, and Machine Learning for you! โ€ข Co-founder @dailydoseofds_โ€ข BITS Pilani โ€ข 3 Patents โ€ข ex-AI Engineer @ LightningAI
ๅ‚ๅŠ  July 2012
501 ใƒ•ใ‚ฉใƒญใƒผไธญ    290K ใƒ•ใ‚กใƒณ
The easiest way to find out which models you can run on your computer: Just run: - ๐—ป๐—ฝ๐—บ ๐—ถ -๐—ด @๐—บ๐—ฎ๐—ด๐—ป๐—ถ๐˜๐˜‚๐—ฑ๐—ฒ๐—ฑ๐—ฒ๐˜ƒ/๐—ฐ๐—น๐—ถ - ๐—บ๐—ฎ๐—ด๐—ป๐—ถ๐˜๐˜‚๐—ฑ๐—ฒ ๐˜€๐—ฒ๐˜๐˜‚๐—ฝ It profiles your machine and ranks the models across: - Speed - Accuracy - Intelligence - Memory required Finally, you can choose your favorite harness (Pi, OpenCode, Claude Code, Codex, etc.) to run with it. Get started here: (don't forget to star ๐ŸŒŸ) I also wrote a detailed article on running your favorite harnesses with local models. The article is quoted below.
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