clem 🤗(@ClementDelangue)
open-source community will work their magic!
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TL;DR · AI 摘要
Hugging Face CEO回应用户对Kimi模型推理速度的抱怨，称开源社区将解决性能问题，但未提供具体方案或时间表。
核心要点
- 开源社区被寄望于优化Kimi模型推理性能，但无明确实施路径。
- 用户反馈当前Kimi推理延迟高，影响日常使用体验。
- 对话缺乏技术细节或数据支撑，信息密度低。
#开源#AI模型#推理优化
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clem 
open-source community will work their magic!
Quote
Yifei Hu
@hu_yifei
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21h
If any inference providers could serve kimi k2.6 at 300+ tps reliably, I would be happy to switch from gpt 5.4 xhigh to kimi for daily tasks. It's a really good model, but reasoning takes too long and inference is just too slow at the moment.
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