Alibaba
Qwen 3.5 35B A3B
Frontier
Jun 2025Veröffentlicht131K TokenKontextApache 2.0Lizenz97 HerausragendQualität
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.
Loslegen
— kopieren & einfügen, um lokal auszuführenCopy-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
Verwandte Modelle
Schnellauswahl
Beste Hardware
Top-Empfehlungen für Qwen 3.5 35B A3B
Dieses Modell ausführen
Quantisierungsoptionen
VRAM-Schätzungen nach Quantisierungsstufe
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
Hardware-Kompatibilität
Eignungsschätzungen für alle Hardware
Computing compatibility...
Speicheraufschlüsselung
Reference: RTX 2060 6GB
Weights21.3 GB
KV Cache1.5 GB
Runtime1.2 GB
Headroom0.6 GB
Häufig gestellte Fragen
FAQ — Qwen 3.5 35B A3B
Siehe auch