Alibaba
Qwen 3.6 35B A3B (35B parameters) requires approximately 28.5 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 33 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Qwen 3.6 35B A3B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "Qwen/Qwen3.6-35B-A3B" \
--hf-file "Qwen3.6-35B-A3B-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
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Quantization options
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.7 GB | Low | — |
Q3_K_S | 3 | 17.2 GB | Low | — |
NVFP4 | 4 | 19.6 GB | Medium | — |
Q4_K_M | 4 | 21.3 GB | Medium | — |
Q5_K_M | 5 | 25.2 GB | High | — |
Q6_K | 6 | 28.7 GB | High | — |
Q8_0 | 8 | 37.5 GB | Very High | — |
F16 | 16 | 71.8 GB | Maximum | — |
Quality benchmarks
Coding
Reasoning
Source: official · 2026-04-15
Hardware compatibility
Computing compatibility...
Memory breakdown
Frequently asked questions
Qwen 3.6 35B A3B (35B parameters) requires approximately 28.5 GB of VRAM with Q4_K_M quantization. Lower quantizations like Q4_K_M use less memory but may reduce quality.
Yes, Mac mini M4 64GB can run Qwen 3.6 35B A3B with a compatibility score of 92/100. It provides 64 GB of memory and achieves approximately 11.0 tokens per second.
The recommended quantization for Qwen 3.6 35B A3B is Q4_K_M, which offers the best balance between model quality and memory efficiency. Higher quantizations preserve more quality but require more VRAM.
The top recommended hardware for Qwen 3.6 35B A3B: NVIDIA A100 40GB (score: 99/100), RTX 6000 Ada 48GB (score: 99/100), RTX PRO 5000 Blackwell 48GB (score: 99/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, Qwen 3.6 35B A3B is well-suited for chat as well as coding, reasoning, vision, agentic. It was designed with these use cases in mind.
See also
