Alibaba
Qwen 3.5 27B
Frontier
Jun 2025Veröffentlicht131K TokenKontextApache 2.0Lizenz99 HerausragendQualität
Qwen 3.5 27B (27B parameters) requires approximately 21.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 25 GB of VRAM.
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— kopieren & einfügen, um lokal auszuführenCopy-paste commands to run Qwen 3.5 27B on your machine.
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ollama run qwen3.5:27bQuick specs
Parameters27B
Architecturedense
Context131K tokens
Modalitytext
Min RAM10.5 GB
Rec. RAM16.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Code✓ Chat✓ Reasoning✓ RAG
About this model
- •Top-tier dense model quality — competitive with much larger models
- •Fits on RTX 4090 (24 GB) at Q4_K_M with room for context
- •Excellent instruction following and structured output generation
Verwandte Modelle
Schnellauswahl
Beste Hardware
Top-Empfehlungen für Qwen 3.5 27B
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 | 10.5 GB | Low | — |
Q3_K_S | 3 | 13.2 GB | Low | — |
NVFP4 | 4 | 15.1 GB | Medium | — |
Q4_K_M | 4 | 16.5 GB | Medium | — |
Q5_K_M | 5 | 19.4 GB | High | — |
Q6_K | 6 | 22.1 GB | High | — |
Q8_0 | 8 | 28.9 GB | Very High | — |
F16 | 16 | 55.4 GB | Maximum | — |
Quality benchmarks
Qwen 3.5 27B benchmark scores
Coding
SWE-bench Verified72.4%
HumanEval+—
Aider Polyglot—
LiveCodeBench80.7%
Reasoning
MMLU-Pro86.1%
GPQA Diamond85.5%
MATH-50094.5%
ARC Challenge—
General
Chatbot Arena—
IFEval95.0%
Source: official · 2025-07-14
Hardware-Kompatibilität
Eignungsschätzungen für alle Hardware
Computing compatibility...
Speicheraufschlüsselung
Reference: RTX 2060 6GB
Weights16.5 GB
KV Cache3.2 GB
Runtime1.2 GB
Headroom0.6 GB
Häufig gestellte Fragen
FAQ — Qwen 3.5 27B
Siehe auch