Run Llama Without a GPU! Quantized LLM with LLMWare and Quantized Dragon - podcast episode cover

Run Llama Without a GPU! Quantized LLM with LLMWare and Quantized Dragon

Jan 08, 202415 min
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Episode description

This story was originally published on HackerNoon at: https://hackernoon.com/run-llama-without-a-gpu-quantized-llm-with-llmware-and-quantized-dragon.
Use AI miniaturization to get high-level performance out of LLMs running on your laptop!
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llm, #chatgpt, #quantization, #rag, #python, #mlops, #gpu-infrastructure, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.

This story was written by: @shanglun. Learn more about this writer by checking @shanglun's about page, and for more stories, please visit hackernoon.com.

As GPU resources become more constrained, miniaturization and specialist LLMs are slowly gaining prominence. Today we explore quantization, a cutting-edge miniaturization technique that allows us to run high-parameter models without specialized hardware.

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