1× RTX 5090
252tok/sEveryday
1 request, prose prompt, no speculative decoding Source
Intelligence18with thinkingno thinking 15
Local AI · Recipe · 1× RTX 3090
Qwen3.6 35B-A3B IQ4_XS with ik_llama.cpp on 1× RTX 3090
Qwen3.6 35B-A3B IQ4_XS with ik_llama.cpp on 1× RTX 3090: 113 tok/s according to github.com (dataset as of Nov 3, 2026).
by noonghunna
Intelligence (original model) · Artificial Analysis18with thinkingno thinking 15
Engine
- Engine
- ik_llama.cpp
- Quantization
- GGUF IQ4_XS (byteshape), q4_0 KV
- Model family
- Qwen3.6
- Context
- 262,144
- Parameters
- 35B MoE / 3B 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 weightsbyteshape/Qwen3.6-35B-A3B-MTP-GGUF Apache-2.0
- Engine
- ik_llama.cpp
- Context
- 262,144 tokens
Related recipes
2× RTX 5090
249tok/sEveryday
1 request, prose prompt, no speculative decoding Source
Intelligence18with thinkingno thinking 15
- License unclear
2× RTX 3090
179tok/sEveryday
1 request, prose prompt, no speculative decoding Source
Intelligence18with thinkingno thinking 15
- License unclear
2× RTX 5090
168tok/sEveryday
1 request, prose prompt, with MTP Source
Intelligence21with thinkingno thinking 20
2× RTX 5090
153tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence21with thinkingno thinking 20
1× RTX 5090
128tok/sEveryday
1 request, prose prompt, with MTP (per recipe) Source
Intelligence21with thinkingno thinking 20
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.