Alzeo / Models / Qwen3.8 Flash-Next
Run Qwen3.8 Flash-Next on a DGX Spark
A 176B mixture of experts on one box, by Qwen. NVFP4 (RadixArk) with NEXTN speculation, on SGLang nightly 53295c6.
Qwen's 176B mixture of experts in NVFP4 on one box, at its full 262K window: its 47.7 GiB FP8 N-gram table lives in a sparse file on the local NVMe, so the memory goes to the weights and a real KV cache. On an ASUS Ascent GX10 with 128 GB: 47.9 tok/s, on code, with FLASH_TIER=context.
Measured
47.9tok/s
on code, with FLASH_TIER=context
- A 262K-token window
- GSM8K 97.41% on 1,314 problems
- HumanEval 95.73%, MMLU 90.8%
- Measured on
- an ASUS Ascent GX10 with 128 GB, the project's reference box
- How
- the flash lane campaign
- Source
- docs/flash-lane.md
Load it
From the cockpit: open the Lanes view, pick Qwen3.8 Flash-Next and press Load. From a terminal, in the repo folder on the box:
./switch-model.sh flash # switches the boot, then prints the commands to runswitch-model.sh never restarts an engine itself: it prints the exact stop and start commands. The cockpit's Load runs them for you.
Other checkpoints of the same lane load the same way: flash-nvda, flash-uncensored.
On a 64 GB DGX Spark
No: it needs a 128 GB DGX Spark. A 64 GB box serves Nemotron 3.5 Bolt and Qwen3.8-27B: what runs on 64 GB.
Use it from your tools
The box serves OpenAI- and Anthropic-compatible APIs on port 30001, with an API key. Claude Code, opencode, Open WebUI and the OpenAI and Anthropic SDKs point there instead of a cloud: see Claude Code with a local model and opencode with a local model.
Install it
One command, on stock DGX OS. The same command updates it later.
curl -fsSL https://get.alzeo.ai | bashQuestions about Qwen3.8 Flash-Next on a DGX Spark
Can a DGX Spark run Qwen3.8 Flash-Next?
Yes. Qwen's 176B mixture of experts in NVFP4 on one box, at its full 262K window: its 47.7 GiB FP8 N-gram table lives in a sparse file on the local NVMe, so the memory goes to the weights and a real KV cache. The installer of Alzeo sets it up, and the cockpit loads it with one button.
How fast is Qwen3.8 Flash-Next on a DGX Spark?
47.9 tok/s, on code, with FLASH_TIER=context, measured on an ASUS Ascent GX10 with 128 GB. A 262K-token window. GSM8K 97.41% on 1,314 problems. HumanEval 95.73%, MMLU 90.8%.
Does Qwen3.8 Flash-Next run on a 64 GB DGX Spark?
No: it needs a 128 GB DGX Spark.
The other lanes
- QwenQwen3.8 27B65.2 to 68.5 tok/s, greedy median in two runs, one request (2026-11-05)
- NVIDIAQwen3.8 Flash-Next FP4-Local55.4 tok/s, greedy median, at its default effort
- NVIDIANemotron 3.5 Bolt140 tok/s, rewriting code, one request, reasoning off
- NVIDIANemotron 3.5 Super VL69.5 tok/s, rewriting code, one request, reasoning off
- Ornith AIOrnith 1.5 122B42.4 tok/s, greedy median, one request
- Aleph AlphaKolibri-148.0 tok/s, one request
- QwenQwen-Image 2.17.5 s, with its Turbo, per 1024×1024 image
- MiniMaxMiniMax-H3126.2 to 127.9 s, with the Turbo adapter, for 4 s of 480P video