[GH-ISSUE #32] 33b需要多少显存,怎么量化加载 #27

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opened 2026-10-26 21:02:22 +00:00 by bsakaguchi · 2 comments
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Originally created by @xiaokai01 on GitHub (Nov 14, 2023).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-Coder/issues/32

Originally created by @xiaokai01 on GitHub (Nov 14, 2023). Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-Coder/issues/32
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@guoday commented on GitHub (Nov 22, 2023):

已有社区开源了量化后的模型:https://huggingface.co/TheBloke/deepseek-coder-33B-instruct-GPTQ
你可以参考一下

<!-- gh-comment-id:1822042250 --> @guoday commented on GitHub (Nov 22, 2023): 已有社区开源了量化后的模型:https://huggingface.co/TheBloke/deepseek-coder-33B-instruct-GPTQ 你可以参考一下
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@soloice commented on GitHub (Nov 28, 2023):

原始版本:一个参数占两个字节,33B 就是 66 GB,再加上运行时 KV cache 占的空间,单卡的话得 80GB 的显卡才能跑;如果做流水并行/张量并行基本上可以线性减少。
量化版本:参考 the bloke 量化的结果。差不多量化到几个 bit 显存就对应节省多少。

<!-- gh-comment-id:1829773192 --> @soloice commented on GitHub (Nov 28, 2023): 原始版本:一个参数占两个字节,33B 就是 66 GB,再加上运行时 KV cache 占的空间,单卡的话得 80GB 的显卡才能跑;如果做流水并行/张量并行基本上可以线性减少。 量化版本:参考 the bloke 量化的结果。差不多量化到几个 bit 显存就对应节省多少。
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