Alibaba
Qwen 2.5 7B
当前
12.9M下载量1.3K点赞Sep 2024发布日期131K tokens上下文Apache 2.0许可证62 良好质量
Qwen 2.5 7B (7B parameters) requires approximately 6.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.
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Run
ollama run qwen2.5Quick specs
Parameters7B
Architecturedense
Context131K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat
About this model
- •Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models...
- •Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g,...
- •Long-context Support: up to 128K tokens and can generate up to 8K tokens
- •Multilingual support: for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean,...
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最佳硬件
Qwen 2.5 7B 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 | 2.7 GB | Low | — |
Q3_K_S | 3 | 3.4 GB | Low | — |
NVFP4 | 4 | 3.9 GB | Medium | — |
Q4_K_M | 4 | 4.3 GB | Medium | — |
Q5_K_M | 5 | 5.0 GB | High | — |
Q6_K | 6 | 5.7 GB | High | — |
Q8_0 | 8 | 7.5 GB | Very High | — |
F16 | 16 | 14.3 GB | Maximum | — |
Quality benchmarks
Qwen 2.5 7B benchmark scores
Coding
SWE-bench Verified—
HumanEval+84.8%
Aider Polyglot—
LiveCodeBench28.7%
Reasoning
MMLU-Pro56.3%
GPQA Diamond36.4%
MATH-50075.5%
ARC Challenge—
General
Chatbot Arena—
IFEval71.2%
Source: official · 2024-09-19
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
Weights4.3 GB
KV Cache0.9 GB
Runtime0.9 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 2.5 7B
另请参阅