Alibaba
Qwen 3 0.6B
前沿
20.1M下载量1.3K点赞Apr 2025发布日期33K tokens上下文Apache 2.0许可证18 入门质量
Qwen 3 0.6B (0.6000000238418579B parameters) requires approximately 4.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 5 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Qwen 3 0.6B on your machine.
Run
ollama run qwen3:0.6bQuick specs
Parameters0.6B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.2 GB
Rec. RAM0.4 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat
About this model
- •Uniquely support of seamless switching between thinking mode: (for complex logical reasoning, math, and coding) and non-thinking mode (for...
- •Significantly enhancement in its reasoning capabilities: , surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking...
- •Superior human preference alignment: , excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a...
- •Expertise in agent capabilities: , enabling precise integration with external tools in both thinking and unthinking modes and achieving leading...
- •Support of 100+ languages and dialects: with strong capabilities for multilingual instruction following and translation
相关模型
快速推荐
最佳硬件
Qwen 3 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 0.6B benchmark scores
Reasoning
MMLU-Pro—
GPQA Diamond—
MATH-50077.6%
ARC Challenge—
Source: community · 2025-04-27
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
Runtime2.4 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 3 0.6B
另请参阅