[GH-ISSUE #391] 可以支持满血的deepseek r1,不用量化 #261

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opened 2026-10-29 14:36:49 +00:00 by bsakaguchi · 6 comments
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Originally created by @954701 on GitHub (Feb 17, 2025).
Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/391

cpu和gpu混合推理,可以不用量化的checkpoint,直接用满血版的bfloat16推理吗

Originally created by @954701 on GitHub (Feb 17, 2025). Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/391 cpu和gpu混合推理,可以不用量化的checkpoint,直接用满血版的bfloat16推理吗
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@lymanzhao commented on GitHub (Feb 17, 2025):

取决于你的机器啊

<!-- gh-comment-id:2662232865 --> @lymanzhao commented on GitHub (Feb 17, 2025): 取决于你的机器啊
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@tammypi commented on GitHub (Feb 18, 2025):

取决于你的机器啊

文档推荐的4090 24G显存+380G+内存,是可以跑r1 q4量化版,还是bf16原始版本?

<!-- gh-comment-id:2664289216 --> @tammypi commented on GitHub (Feb 18, 2025): > 取决于你的机器啊 文档推荐的4090 24G显存+380G+内存,是可以跑r1 q4量化版,还是bf16原始版本?
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@954701 commented on GitHub (Feb 18, 2025):

取决于你的机器啊

文档推荐的4090 24G显存+380G+内存,是可以跑r1 q4量化版,还是bf16原始版本?

量化版本

<!-- gh-comment-id:2664442935 --> @954701 commented on GitHub (Feb 18, 2025): > > 取决于你的机器啊 > > 文档推荐的4090 24G显存+380G+内存,是可以跑r1 q4量化版,还是bf16原始版本? 量化版本
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@QingshuiL commented on GitHub (Feb 18, 2025):

@954701 有尝试过deepseek R1 BF16 的模型吗? 性能咋样,需要消耗多少内存?

<!-- gh-comment-id:2664820020 --> @QingshuiL commented on GitHub (Feb 18, 2025): @954701 有尝试过deepseek R1 BF16 的模型吗? 性能咋样,需要消耗多少内存?
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@954701 commented on GitHub (Feb 18, 2025):

@954701 有尝试过deepseek R1 BF16 的模型吗? 性能咋样,需要消耗多少内存?

没试过啊

<!-- gh-comment-id:2664850989 --> @954701 commented on GitHub (Feb 18, 2025): > [@954701](https://github.com/954701) 有尝试过deepseek R1 BF16 的模型吗? 性能咋样,需要消耗多少内存? 没试过啊
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@goodapweb-2022 commented on GitHub (Apr 21, 2025):

这个cpu上跑bfloat16有没有精度误差?

<!-- gh-comment-id:2819054023 --> @goodapweb-2022 commented on GitHub (Apr 21, 2025): 这个cpu上跑bfloat16有没有精度误差?
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