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Source channel @githubtrending · Post #14798 · Jun 6

#jupyter_notebook Unsloth is a tool that makes it much faster and easier to fine-tune large language models like Llama, Mistral, and Gemma, even on regular computers or single GPUs. It uses smart tricks to speed up training by 2 to 5 times and cuts memory use by up to 70%, so you can train models quickly without needing expensive hardware[1][3][4]. The benefit is that anyone—developers, researchers, or AI fans—can create custom AI models for different tasks, from chatting to vision, in less time and with less hassle, using ready-made notebooks and guides for popular models[3][5]. https://github.com/unslothai/notebooks

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Host Testing and evaluation

@HostEvaluate · Post #853 · 01/18/2023, 12:02 PM

#misaka#DE#BER Host Provider: Misaka Network Location: Berlin, Germany Specification: 1vCore(Xeon Skylake) | 512MB RAM | 10GB NVMe | 512GB Traffic | $10.5 / Mo Test IP: 45.131.71.128 MTR: https://ping.sx/mtr?p=misaka-ber02-s2c 感谢商家提供的测试机。这款是 Misaka 新上的柏林机器,带 CN2 优化。应该会有活动的。这个 CN2 是从他们俄罗斯牵过去的,延迟比咸鱼云的法兰克福要低些。国际目前只有 retn, 后面会加 lumen, 具体啥时候加上就不得而知了。去往西欧延迟更低的一个选择。机器性能可以,本地带宽应该是 10Gbps? BerlinCN2Launch 年付 30off, 限 CN2 产品 https://paste.red/p/c20e1103c9f5