1× RTX 3090
44.9tok/sEveryday
1 request, prose prompt, with DFlash (per recipe) Source
Intelligence19with thinkingno thinking 14
Local AI · Recipe · 1× RTX 3090
Gemma 4 26B-A4B AWQ with vLLM on 1× RTX 3090
Gemma 4 26B-A4B AWQ with vLLM on 1× RTX 3090: 168 tok/s according to github.com (dataset as of Nov 3, 2026).
by noonghunna
Intelligence (original model) · Artificial Analysis17with thinkingno thinking 13
Engine
- Engine
- vLLM
- Quantization
- AWQ INT4 + int8-PTH KV
- Model family
- Gemma 4
- Context
- 176,000
- Parameters
- 26B MoE / 4B active
- Creator
- noonghunna
- GitHub stars
- 2,471
- Repo updated
- Nov 2, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
Decode · 1 request
Prefill by context
What you need
- Hardware
- 1 × NVIDIA RTX 3090
- Weights
- Main weightscyankiwi/gemma-4-26B-A4B-it-AWQ-4bit Apache-2.0
- MTPgoogle/gemma-4-26B-A4B-it-assistant Apache-2.0
- Engine
- vLLM
- Context
- 176,000 tokens
Related recipes
1× RTX 5090
53tok/sPeak
1 request, synthetic prompt Source
Intelligence19with thinkingno thinking 14
1× DGX Spark
29.8tok/sPeak
1 request, best value reported by source Source
Intelligence17with thinkingno thinking 13
1× RTX 3090
113tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence18with thinkingno thinking 15
1× RTX 3090
59.7tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence21with thinkingno thinking 20
1× RTX 3090
57tok/sEveryday
1 request, prose prompt, with MTP Source
Intelligenceno independent value
- Custom kernel required
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.