Alibaba
Qwen 3.5 35B A3B
前沿
Jun 2025发布日期131K tokens上下文Apache 2.0许可证97 卓越质量
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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Run
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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最佳硬件
Qwen 3.5 35B A3B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
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
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights21.3 GB
KV Cache1.5 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 3.5 35B A3B
另请参阅