🛠️ DevOps Tool of the Week: AirLLM

Running large LLMs locally usually requires massive GPU memory. AirLLM takes a different approach by loading model layers into VRAM only when needed during inference. This enables models as large as 70B parameters to run on GPUs with as little as 4GB VRAM.

#AI #LLMOps #DevOps

Content Credit: DevOpsCube
link to the post- https://www.linkedin.com/posts/llm-mlops-devopstools-share-7471516866088452096-qt_9/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY

GitHub Repository: https://github.com/lyogavin/airllm