Frete grátis. Config 1 x RTX 4090 - 16 vCPU 83 GB RAM on runpod via TheBloke TextGen UI. Is 13b hard-coded to require two GPUs for some reason? 6 comments Best. thewataccount 65 days ago. . . . . (PLMs) to int8. GPT-NeoX. g. I'm not sure if I'm doing this right, but 13b seems to use about 8GB of system ram and no video ram. . That's the equivalent of 21. Llama 2. LLaMA (Large Language Model Meta AI) is the artificial intelligence developed by Meta. The project provides tools and scripts to make it easier for users to convert and/or quantize models into a format compatible with llama. With the LLaMA quartet, Meta is presumably hoping for a kinder reception. vocab_size (int, optional, defaults to 32000) — Vocabulary size of the LLaMA model. Hi, I want to load 13B or larger model in a single A100 80G, but find that the two shards of the model are ought to be loaded in 2 GPUs, is there any way to consolidate the two shards into one file? 👍 7 pauldog commented on Mar 2 • edited There might be a way to trick it using virtual GPUs? Also this. . Use in Transformers. 一个参数量为 13B 的模型竟然打败了顶流 GPT-4？. . Leonardo Guzmán (Kingfisher Birdwatching Nuevo León) Luis Humberto Montemayor. remghoost7 • 3 mo. . int8 () work of Tim Dettmers. 作者在 rtx 3090/rtx 4090 上运行 llama 7b/13b 版本，在单个 a100 上运行 33b 版本。 需要注意的是，与 ChatGPT 不同，其他模型并不是基于指令微调，因此 prompt. My Ryzen 5 3600: LLaMA 13b: 1 token per second My RTX 3060: LLaMA 13b 4bit: 18. Performance is literally 1/2. I had tried uninstalling pytorch and reinstalling it and that did not help me. . . 2 LTS LLaMA 13B It uses > 32 GB of host memory when loading and quantizing, be sure you have enough memory or. . 11:49 PM · Mar 8, 2023 · 450 Views 2 Retweets 3.