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

KC
@karanC_12
AI โ€ข Models โ€ข AGI โ€ข Open Source
๊ฐ€์ž… November 2022
335 ํŒ”๋กœ์ž‰ ์ค‘    1.1K ํŒฌ
This should not be possible. Qwen3.8-27B just hit 70 tokens per second on a MacBook Pro M5 Max. Same quality. Up to 4.6ร— faster than normal decoding. A frontier-level open model running this fast on a laptop. Local AI just became actually usable. ๐Ÿ‘€
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DFlash 2 is here! Qwen3.8-27B at 70 tok/s on an M5 Max MacBook Pro. โšก Up to 4.6ร— the speed of autoregressive decoding, with the same output. This is the next generation of DFlash, seeded at Z Lab and upgraded at Inco AI. Get one more accepted token on every pass, for free!
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