๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Qwen
@Alibaba_Qwen
Open foundation models for AGI.
๊ฐ€์ž… February 2024
3 ํŒ”๋กœ์ž‰ ์ค‘    312.6K ํŒฌ
Congrats to @lightseekorg on the impressive TokenSpeed results! ๐Ÿš€ Great to see Qwen3.8-Flash-Next reaching 685 output tokens/s per user on Nvida GPUs. Excited to see the community unlock more of Qwenโ€™s inference potential!
๋” ๋ณด๊ธฐ
685 output tokens/s per user on @Alibaba_Qwen Qwen3.8-Flash-Next. Running TokenSpeed on 4ร— NVIDIA GB300 with NVFP4. A look at the kernel and serving optimizations behind the results: ๐Ÿ‘‰ โญ
๋” ๋ณด๊ธฐ