Alibaba
Qwen 3.5 9B
Frontier
Jun 2025Veröffentlicht131K TokenKontextApache 2.0Lizenz97 HerausragendQualität
Qwen 3.5 9B (9B parameters) requires approximately 9.5 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 11 GB of VRAM.
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— kopieren & einfügen, um lokal auszuführenCopy-paste commands to run Qwen 3.5 9B on your machine.
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ollama run qwen3.5:9bQuick specs
Parameters9B
Architecturedense
Context131K tokens
Modalitytext
Min RAM3.5 GB
Rec. RAM5.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Code✓ Chat✓ Reasoning
About this model
- •Significant quality leap over Qwen3 8B in reasoning and coding benchmarks
- •Fits in 8 GB VRAM at Q4_K_M — ideal for RTX 3060/4060 class GPUs
- •Strong multilingual support across 29+ languages
Verwandte Modelle
Schnellauswahl
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Top-Empfehlungen für Qwen 3.5 9B
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Quantisierungsoptionen
VRAM-Schätzungen nach Quantisierungsstufe
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | — |
Q3_K_S | 3 | 4.4 GB | Low | — |
NVFP4 | 4 | 5.0 GB | Medium | — |
Q4_K_M | 4 | 5.5 GB | Medium | — |
Q5_K_M | 5 | 6.5 GB | High | — |
Q6_K | 6 | 7.4 GB | High | — |
Q8_0 | 8 | 9.6 GB | Very High | — |
F16 | 16 | 18.5 GB | Maximum | — |
Quality benchmarks
Qwen 3.5 9B benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench65.6%
Reasoning
MMLU-Pro82.5%
GPQA Diamond81.7%
MATH-500—
ARC Challenge—
General
Chatbot Arena—
IFEval91.5%
Source: official · 2025-07-14
Hardware-Kompatibilität
Eignungsschätzungen für alle Hardware
Computing compatibility...
Speicheraufschlüsselung
Reference: RTX 2060 6GB
Weights5.5 GB
KV Cache2.2 GB
Runtime1.2 GB
Headroom0.6 GB
Häufig gestellte Fragen
FAQ — Qwen 3.5 9B
Siehe auch