Alibaba
Qwen 3.5 35B A3B
Frontera
Jun 2025Publicado131K tokensContextoApache 2.0Licencia97 ExcepcionalCalidad
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.
Comenzar
— copia y pega para ejecutar en localCopy-paste commands to run Qwen 3.5 35B A3B on your machine.
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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Opciones de cuantización
Estimaciones de VRAM por nivel de cuantización
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
Compatibilidad de hardware
Estimaciones de encaje en todo el hardware
Computing compatibility...
Desglose de memoria
Reference: RTX 2060 6GB
Weights21.3 GB
KV Cache1.5 GB
Runtime1.2 GB
Headroom0.6 GB
Preguntas frecuentes
FAQ — Qwen 3.5 35B A3B
Ver también