---
type: "Article"
title: "Qwen3.8-Flash-Next NVFP4 (NVIDIA QAD, FP4-Local) with TensorFold on 1× DGX Spark"
description: "Qwen3.8-Flash-Next NVFP4 (NVIDIA QAD, FP4-Local) with TensorFold on 1× DGX Spark: 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-next-fp4-qad-single-dgx-spark-tensorfold"
language: "en"
generated:
  by: "process:contextstudios-md/1"
  at: "2026-11-11T03:20:36.678Z"
status: "stable"
---

# Qwen3.8-Flash-Next NVFP4 (NVIDIA QAD, FP4-Local) with TensorFold on 1× DGX Spark

Qwen3.8-Flash-Next NVFP4 (NVIDIA QAD, FP4-Local) with TensorFold on 1× DGX Spark: 55.6 tok/s according to github.com (dataset as of Nov 3, 2026).

- Creator: [MiaAI-Lab](https://www.contextstudios.ai/local-ai/creators/miaai-lab.md)
- Engine: TensorFold tensorfold-native (Zig) v1.1.4 (eab85828) + Patches 0001–0017, Image tensorfold-qwen38:v1.1.4-eab8582 (GHCR v1.1.4-eab8582-4baf16137ecd) auf nvcr.io/nvidia/pytorch:26.07-py3, MTP-Drafts
- Quantization: NVIDIA FP4-QAD-Export (FP4-Local @b9ce18a6): Routed Experts NVFP4 (Gruppe 16), Attention/Shared Expert MXFP8, alle 512 Experten mit 10 pro Token; n-gram-Tabelle per pread von der SSD; FP8 KV
- Model family: Qwen3.8-Flash-Next
- Hardware: dgx-spark x1
- Context: 262144
- Artificial Analysis Intelligence Index: 39.8 ([source](https://artificialanalysis.ai/models/qwen3-8-flash-next))

## All numbers

- 55.6 tok/s (Everyday; Everyday, 1 request, prose prompt, with MTP (per recipe)) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold#performance)
- decode_tps: 55.6 (1 request) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold#performance)
- decode_tps: 156.1 (5 parallel requests) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold#performance)
- prefill_tps: 2839 (1 request) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold#performance)
- ttft_ms: 136 (1 request) — [source](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold#performance)

## Weights

- [nvidia/Qwen3.8-Flash-Next-FP4-Local](https://huggingface.co/nvidia/Qwen3.8-Flash-Next-FP4-Local) (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-Next-Single-DGX-Spark-TensorFold](https://github.com/MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold)

## Related

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