Alibaba
Qwen 2.5 72B
当前
887.8K下载量942点赞Sep 2024发布日期131K tokens上下文Apache 2.0许可证73 优秀质量
Qwen 2.5 72B (72B parameters) requires approximately 50.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 59 GB of VRAM.
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ollama run qwen2.5:72bQuick specs
Parameters72B
Architecturedense
Context131K tokens
Modalitytext
Min RAM28.1 GB
Rec. RAM43.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat✓ Reasoning
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 72B 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 | 28.1 GB | Low | — |
Q3_K_S | 3 | 35.3 GB | Low | — |
NVFP4 | 4 | 40.3 GB | Medium | — |
Q4_K_M | 4 | 43.9 GB | Medium | — |
Q5_K_M | 5 | 51.8 GB | High | — |
Q6_K | 6 | 59.0 GB | High | — |
Q8_0 | 8 | 77.0 GB | Very High | — |
F16 | 16 | 147.6 GB | Maximum | — |
Quality benchmarks
Qwen 2.5 72B benchmark scores
Coding
SWE-bench Verified32.8%
HumanEval+86.6%
Aider Polyglot—
LiveCodeBench55.5%
Reasoning
MMLU-Pro71.1%
GPQA Diamond49.0%
MATH-50083.1%
ARC Challenge—
General
Chatbot Arena—
IFEval84.1%
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
Weights43.9 GB
KV Cache4.9 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Qwen 2.5 72B
另请参阅