Real time on 64 GB Macs and up (2.6x), and it still runs on a 48 GB MacBook Pro: experts stream from the SSD Zero-shot voice cloning from a 5–30 s clip, and the cloned voice can speak other languages Multi-speaker dialogue, cues like [laughs] [whispering], 83 languages OpenAI-compatible /v1/audio/speech with streaming, no PyTorch needed
Built with Fish Audio · community build · Fish Audio Community License
On one M3 Ultra Mac Studio with gbx: • ~22 tok/s standard decode • ~44 tok/s on code with DeepSeek's official draft head (1.99×) • ~33 tok/s on chat with the draft head
Why run 1017: DeepSeek reports 77.0 on DeepSWE v1.1 (up from 74.2) and 42.3 on Terminal-Bench 4.0 (up from 31.2), with shorter outputs (https://api-docs.deepseek.com/news/news261017).
It reads text and images, and plugs straight into Claude Code and Codex; the setup is in the model card. The paged format also loads on Macs with less memory, and on an NVIDIA DGX Spark with experts paged from the SSD;