---
type: "Article"
title: "Qwen3.8-Flash-Next INT4-AutoRound (v5.2) on 1× DGX Spark"
description: "Qwen3.8-Flash-Next INT4-AutoRound (v5.2) on 1× DGX Spark: recipe by myllmbox with speed, condition and source for every number, weights and license."
resource: "https://www.contextstudios.ai/local-ai/myllmbox--qwen38-flash-next-int4-aur-1x-dgx-spark"
language: "en"
generated:
  by: "process:contextstudios-md/1"
  at: "2026-10-24T16:20:18.925Z"
status: "stable"
---

# Qwen3.8-Flash-Next INT4-AutoRound (v5.2) on 1× DGX Spark

Qwen3.8-Flash-Next INT4-AutoRound (v5.2) on 1× DGX Spark: 86.3 tok/s according to github.com (dataset as of Sep 29, 2026).

- Creator: [myllmbox](https://www.contextstudios.ai/local-ai/creators/myllmbox.md)
- Engine: vLLM 0.30 (RecoverSSM, dynamischer Draft-Depth bis 7, sampled Drafts mit Block-Verifikation, 16 Seats) — Kit v5.2
- Quantization: INT4-AutoRound (azampatti): int4-Experten, fp8-Seitenschichten, fp8-n-gram-Tabelle (49 GB, von Disk)
- Model family: Qwen3.8-Flash-Next
- Hardware: dgx-spark x1
- Artificial Analysis Intelligence Index: 39.8 ([source](https://artificialanalysis.ai/models/qwen3-8-flash-next))

## All numbers

- 86.3 tok/s (Peak; Peak, 1 request, code prompt (TypeScript), thinking off, v5.2 table) — [source](https://github.com/myllmbox/qwen38-flash-next-recipe#v52-2026-10-05)
- decode_tps: 64.7 (1 request) — [source](https://github.com/myllmbox/qwen38-flash-next-recipe#v52-2026-10-05)
- decode_tps: 86.3 (1 request) — [source](https://github.com/myllmbox/qwen38-flash-next-recipe#v52-2026-10-05)
- prefill_tps: 2727 (1 request) — [source](https://github.com/myllmbox/qwen38-flash-next-recipe#v52-2026-10-05)
- ttft_ms: 0.57 (1 request) — [source](https://github.com/myllmbox/qwen38-flash-next-recipe#v52-2026-10-05)

## Weights

- [azampatti/Qwen3.8-Flash-Next-125B-A5B-INT4-AutoRound](https://huggingface.co/azampatti/Qwen3.8-Flash-Next-125B-A5B-INT4-AutoRound) (main, other)

[https://github.com/myllmbox/qwen38-flash-next-recipe](https://github.com/myllmbox/qwen38-flash-next-recipe)

## Related

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