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[GH-ISSUE #1620] 能否可以将文档整理一下,第一次学习真的有点费劲 #1053
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Originally created by @Neverland53 on GitHub (Nov 15, 2025).
Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/1620
Originally assigned to: @KMSorSMS on GitHub.
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是否可以将文档整理一下,第一次学习真的有点费劲。
how to start、installation =有点乱。
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@KMSorSMS commented on GitHub (Nov 16, 2025):
Have you checked the doc: https://kvcache-ai.github.io/ktransformers/en/kt-kernel_intro.html? If you want to use the SFT part, I understand there is some chaos. You can check the pr#1622 for the docs structure change. As the kt-kernel part is still ongoing with heavy work, the tutorial may come when I am available to write a tech guide for developers. (Sorry for the delay :( )
@Neverland53 commented on GitHub (Nov 16, 2025):
请问大佬,如果是qwen3-30B之外的模型,也是按照这kt-kernel readme中的方式进行部署嘛
我看还有很多文档部署deepseek qwen3-235 之类的,是否都作废,按照 kt-kernel readme 中的方式进行部署呢。
此外我看咱们release已经发了0.4.1,这个有相关的使用教程嘛。
@KMSorSMS commented on GitHub (Nov 16, 2025):
对的,以前的一些部署推理文档是用在 archive 的那个文件夹的那一套方式,现在为了更好的兼容性和对更多模型的支持,就参考 kt-kernel readme 的方式部署即可。0.4.1 的包是属于微调的,目前 kt 推理部分的操作建议直接 main 分支源码编译,不过后续会加上 docker 镜像方便安装