Alibaba
Qwen 3.5 35B A3B
Frontier
Jun 2025Publicado131K tokensContextoApache 2.0Licença97 ExcepcionalQualidade
Qwen 3.5 35B A3B (35B parameters) requires approximately 24.6 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 29 GB of VRAM.
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— copie e cole para rodar localmenteCopy-paste commands to run Qwen 3.5 35B A3B on your machine.
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ollama run qwen3.5:35b-a3bQuick specs
Parameters35B (3B active)
Architecturemoe (MoE)
Context131K tokens
Modalitytext
Min RAM13.7 GB
Rec. RAM21.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Code✓ Chat
About this model
- •MoE architecture: 35B total params but only 3B active — fast and memory-efficient
- •Quality comparable to dense 7-8B models at a fraction of the compute
- •Runs well on 8 GB VRAM GPUs at Q4_K_M
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Opções de quantização
Estimativas de VRAM por nível de quantização
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
Qwen 3.5 35B A3B benchmark scores
Coding
SWE-bench Verified69.2%
HumanEval+—
Aider Polyglot—
LiveCodeBench74.6%
Reasoning
MMLU-Pro85.3%
GPQA Diamond84.2%
MATH-500—
ARC Challenge—
General
Chatbot Arena—
IFEval91.9%
Source: official · 2026-03-01
Compatibilidade de hardware
Estimativas de compatibilidade para todo o hardware
Computing compatibility...
Detalhamento de memória
Reference: RTX 2060 6GB
Weights21.3 GB
KV Cache1.5 GB
Runtime1.2 GB
Headroom0.6 GB
Perguntas frequentes
FAQ — Qwen 3.5 35B A3B
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