DeepSeek V4.1 Flash builds a browser music machine on four DGX Sparks in 93.9 min
A hands-on test ran DeepSeek-V4.1-Flash-1017 via DeepSeek Harness 0.2.1-rc.2 with 1M-token context and the TensorFold recipe across four DGX Sparks, producing a working browser music machine in one try in 93.9 minutes and 272k tokens, scoring 9.0/10 on a browser check at about 70 tok/s decode.
Incredible! I have never seen a better music machine for my prompt, Opus and Sonnet included. 9/10. Turn your sound on. DeepSeek-V4.1-Flash-1017 built it on four DGX Sparks in 93.9 min, with @MiaAI_lab's TensorFold recipe. I checked it myself: this is not an Opus output. It ran on my own Sparks. Setup: – Recipe: Mia's, commit 6beaad9, with the 8 TF_DS_* switches her README table sets on; one model split across all four Sparks (TP4), 16 streams – Context: 1,048,576 tokens – Agent: DeepSeek Harness 0.2.1-rc.2, one prompt, one try, no help, thinking on – Sampling from the DeepSeek model card: temperature 1.0, top_p 1.0, top_k 20 – The sandbox had no internet; all 71 requests went to my local server Speed: – Decode, code: 69.5 tok/s (separate speed run, thinking off) – Decode, prose: 70.2 tok/s – 500 words: about 10.0 s – Eight requests at once: 139.0 tok/s in total The machine: – Built in 93.9 min, 272,026 tokens – Browser check: 9.0/10 – 18 voices, a wheel with 720 sockets, 6 marble types, 4 pieces – All sound is synthesized live in the browser, no samples – Sound on: the music in the video is what the page plays itself Good to know: – After 90 minutes the harness told the model to finish, and it was done at 93.9. – The browser check took 1 point off for the frame-rate test (under 3 fps, it renders in software). – The recipe's default answer budget is 32,768 tokens, the model card allows 262,144, so I raised the limit to that. – On her own README method my ring gets 119.9 tok/s on code, hers is 117.4. Her README lists 165.3 tok/s at eight requests (prose, thinking on, temperature 0.7); my speed test runs thinking off at the model card's sampling. – The ranking card at the end is the class ranking from my voxel-world test. Play the music machine in your browser, every number and the raw output: https://niklaslenz.com/v2/deepseek-v41-flash-4sparks-mia-tp4-1017/ Mia's recipe and the exact setup: https://mia-ai.net/models/DeepSeek-V4.1-Flash-1017-4x-DGX-Sparks-TensorFold Recipe by @MiaAI_lab. TensorFold engine by @ashxhart. Model by @deepseek_ai.