Alibaba
Qwen 3.5 0.6B
前沿
Jun 2025发布日期131K tokens上下文Apache 2.0许可证13 入门质量
Qwen 3.5 0.6B (0.6000000238418579B parameters) requires approximately 3.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 4 GB of VRAM.
快速开始
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Run
ollama run qwen3.5:0.6bQuick specs
Parameters0.6B
Architecturedense
Context131K tokens
Modalitytext
Min RAM0.2 GB
Rec. RAM0.4 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat
About this model
- •Ultra-lightweight model ideal for edge devices and mobile deployment
- •Improved reasoning and instruction following over Qwen3 at same size
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最佳硬件
Qwen 3.5 0.6B 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 | 0.2 GB | Low | — |
Q3_K_S | 3 | 0.3 GB | Low | — |
NVFP4 | 4 | 0.3 GB | Medium | — |
Q4_K_M | 4 | 0.4 GB | Medium | — |
Q5_K_M | 5 | 0.4 GB | High | — |
Q6_K | 6 | 0.5 GB | High | — |
Q8_0 | 8 | 0.6 GB | Very High | — |
F16 | 16 | 1.2 GB | Maximum | — |
Quality benchmarks
Qwen 3.5 0.6B benchmark scores
Reasoning
MMLU-Pro29.7%
GPQA Diamond—
MATH-500—
ARC Challenge—
General
Chatbot Arena—
IFEval52.1%
Source: official · 2026-03-02
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
Weights0.4 GB
KV Cache0.9 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 3.5 0.6B
另请参阅