1× DGX Spark
53tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence40with thinking
- Custom kernel required
- License unclear
Local AI · Recipe · 1× DGX Spark
FastContext-1.0 NVFP4 with vLLM on 1× DGX Spark
by r0b0tlab
Intelligence (original model) · Artificial Analysisno independent value
Engine
- Engine
- vLLM >=0.23
- Quantization
- NVFP4 W4A4 (ModelOpt) + FP8 KV
- Model family
- FastContext-1.0 (Qwen3-4B)
- Context
- —
- Parameters
- 4B dense
- Creator
- r0b0tlab
- GitHub stars
- 2
- Repo updated
- Jun 18, 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 weightsr0b0tlab/FastContext-1.0-4B-RL-NVFP4 MIT
- Basemicrosoft/FastContext-1.0-4B-RL License unclear
- Engine
- vLLM >=0.23
Related recipes
1× DGX Spark
48.7tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence40with thinking
- Access on request
- License unclear
1× DGX Spark
40.9tok/sEveryday
1 request, prose prompt, prompt 50 tokens, with DSpark (per recipe) Source
Intelligence25with thinking
- 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
30.2tok/sEveryday
1 request, story prompt, prompt 18 tokens, with MTP (per recipe) Source
Intelligence34with thinking
- ≤ 3 bit: quantization may cost quality
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.