Alibaba
Qwen 2.5 Math 7B
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60.5K下载量90点赞Sep 2024发布日期4K tokens上下文Apache 2.0许可证14 入门质量
Qwen 2.5 Math 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.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Qwen 2.5 Math 7B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "Qwen/Qwen2.5-Math-7B-Instruct" \
--hf-file "Qwen2.5-Math-7B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters7B
Architecturedense
Context4K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Reasoning
About this model
相关模型
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最佳硬件
Qwen 2.5 Math 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 Math 7B benchmark scores
Reasoning
MMLU-Pro20.2%
GPQA Diamond1.6%
MATH-50058.1%
ARC Challenge—
General
Chatbot Arena—
IFEval26.4%
Source: community · 2025-01-01
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 Math 7B
另请参阅