1M context with 17 GB model in 24 GB VRAM: "for the first time I was able to load a context of almost 1M tokens and extract 7 needles from various parts of the text"
英文标题:1M context with 17 GB model in 24 GB VRAM: "for the first time I was able to load a context of almost 1M tokens and extract 7 needles from various parts of the text"
https://preview.redd.it/xxjh11f38jih1.png?width=1852&format=png&auto=webp&s=76850ed51e29a8bc86c2ca718d4320075eed4363 Just wanted to share a user report that I found to be very interesting. Some person with an intriguing name manu69x managed to run 1M context on a single RTX 3090 with a model b
中文
https://preview.redd.it/xxjh11f38jih1.png?width=1852&format=png&auto=webp&s=76850ed51e29a8bc86c2ca718d4320075eed4363 Just wanted to share a user report that I found to be very interesting. Some person with an intriguing name manu69x managed to run 1M context on a single RTX 3090 with a model b
中文全文翻译正在补齐,可先查看下方英文原文。
English / 原文
https://preview.redd.it/xxjh11f38jih1.png?width=1852&format=png&auto=webp&s=76850ed51e29a8bc86c2ca718d4320075eed4363 Just wanted to share a user report that I found to be very interesting. Some person with an intriguing name manu69x managed to run 1M context on a single RTX 3090 with a model b