4× RTX 3090
110tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence40with thinking
- License unclear
Local AI · Recipe · 1× DGX Spark
Qwen3.8-Flash-Next 180B NVFP4 with SGLang on 1× DGX Spark
by r0b0tlab
Engine
- Engine
- SGLang 84cf99860e30 (gepatcht)
- Quantization
- NVFP4 W4A4 Experts + FP8 MTP
- Model family
- Qwen3.8-Flash-Next
- Context
- 262,144
- Parameters
- 180B-A4B (laut Schwesterrepo)
- Creator
- r0b0tlab
- GitHub stars
- 9
- Repo updated
- Sep 13, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
No sourced measurements for this recipe.
What you need
- Hardware
- 1 × NVIDIA DGX Spark (GB10)
- Weights
- Main weightsnvidia/Qwen3.8-Flash-Next-NVFP4 other
- Engine
- SGLang 84cf99860e30 (gepatcht)
- Context
- 262,144 tokens
Notes
What matters before you rebuild it.
- Custom kernel required
- License unclear
Sources
Related recipes
2× DGX Spark
54.4tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence40with thinking
- Access on request
- License unclear
1× DGX Spark
53tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence40with thinking
- Custom kernel required
- License unclear
1× DGX Spark
48.7tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence40with thinking
- Access on request
- License unclear
2× RTX 3090
36.8tok/sEveryday
1 request, prose prompt, with ngram Source
Intelligence40with thinking
- Partly in system RAM
- Experimental
- License unclear
1× DGX Spark
32tok/sEveryday
1 request, prose prompt, with Drafting aus dem Prompt (Edit-Setup, lt. README 'drafts its guesses from your prompt') (per recipe) Source
Intelligence40with thinking
- License unclear
Local AI in your company?
In a workshop we work out which models and which hardware fit your tasks, and build the first agent on your infrastructure.