Llama 3.1 small batch size weigh around 15 GB and consumed 15.03 GB of system memory. The medium batch size is over 16 GB in size and consumed 16.30 GB on my system. Small and medium batch sizes can be run only if you’ve at least 20GB RAM (running Windows or a little less if you’ve lightweight Linux distribution) and 6 GB GPU memory.
Llama 3.1 small batch size weigh around 15 GB and consumed 15.03 GB of system memory. The medium batch size is over 16 GB in size and consumed 16.30 GB on my system. Small and medium batch sizes can be run only if you’ve at least 20GB RAM (running Windows or a little less if you’ve lightweight Linux distribution) and 6 GB GPU memory.
Is Meta’s 405 billion parameter model really open source? Depends on who you ask. Here’s how to try out the new engine for yourself.
The post Meta Inches Toward Open-Source AI With New LLaMA 3.1 appeared first on Linux Today.
In this guide, learn how to locally run the latest 8B parameter version of Meta’s Llama 3 on Linux using the LM Studio with practical examples.
The post How to Run and Use Meta’s Llama 3 on Linux appeared first on Linux Today.