2× DGX Spark
54.4tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence40with thinking
- Access on request
- License unclear
Engine
- Engine
- vLLM (Lane 1) / llama.cpp (Lane 2)
- Quantization
- W4A16 (vLLM) bzw. GGUF
- Model family
- Qwen3.8-Flash-Next
- Context
- 262,144
- Parameters
- 125B-A6B
- Creator
- tonyd2wild
- GitHub stars
- 9
- Repo updated
- Sep 21, 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
- 4 × NVIDIA RTX 3090
- Weights
- Main weightsalbucino/Qwen3.8-Flash-Next-W4A16-FP8PLE other
- otherunsloth/Qwen3.8-Flash-Next-GGUF other
- Engine
- vLLM (Lane 1) / llama.cpp (Lane 2)
- Context
- 262,144 tokens
Related recipes
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
1× DGX Spark
26.4tok/sEveryday
1 request, prose prompt, with MTP (NEXTN) (per recipe) Source
Intelligence40with thinking
- Custom kernel required
- 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.