---
type: "Article"
title: "Qwen3.8-Flash-Next 125B NVFP4 with TensorFold on 2× DGX Spark (1M context)"
description: "Qwen3.8-Flash-Next 125B NVFP4 with TensorFold on 2× DGX Spark (1M context): recipe by MiaAI-Lab with speed, condition and source for every number, weights and license."
resource: "https://www.contextstudios.ai/local-ai/miaai-lab--qwen3.8-flash-dual-dgx-sparks-tensorfold"
language: "en"
generated:
  by: "process:contextstudios-md/1"
  at: "2026-10-24T16:16:19.363Z"
status: "stable"
---

# Qwen3.8-Flash-Next 125B NVFP4 with TensorFold on 2× DGX Spark (1M context)

Qwen3.8-Flash-Next 125B NVFP4 with TensorFold on 2× DGX Spark (1M context): 67.4 tok/s according to github.com (dataset as of Sep 29, 2026).

- Creator: [MiaAI-Lab](https://www.contextstudios.ai/local-ai/creators/miaai-lab.md)
- Engine: TensorFold tensorfold-native (Zig, zig-flashnext db281878 + patches), Image ghcr.io/miaai-lab/qwen3.8-flash-dual-dgx-sparks-tensorfold:zig-db28187-f3e1300f4f62, TP=2 über CX7/RoCE, MTP + Copy-Drafts
- Quantization: NVFP4 (nvidia, Experten) + FP8 n-gram/MTP, FP8 KV
- Model family: Qwen3.8-Flash-Next
- Hardware: dgx-spark x2
- Context: 1048576
- Artificial Analysis Intelligence Index: 39.8 ([source](https://artificialanalysis.ai/models/qwen3-8-flash-next))

## All numbers

- 67.4 tok/s (Everyday; Everyday, 1 request, prose prompt, with MTP (per recipe)) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold#performance)
- decode_tps: 67.4 (1 request) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold#performance)
- decode_tps: 390.1 (16 parallel requests) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold#performance)
- prefill_tps: 2757 (1 request) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold#performance)
- ttft_ms: 104 (1 request) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold#performance)

## Weights

- [nvidia/Qwen3.8-Flash-Next-NVFP4](https://huggingface.co/nvidia/Qwen3.8-Flash-Next-NVFP4) (main, other)
- [Qwen/Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next) (base, other)

[https://github.com/MiaAI-Lab/Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Dual-DGX-Sparks-TensorFold)

## Related

- [Local AI on your hardware.](https://www.contextstudios.ai/local-ai.md)