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WizardMath 7B

旧版
40.5K下载量84点赞Aug 2023发布日期4K tokens上下文Llama 2 Community许可证50 良好质量

WizardMath 7B (7B parameters) requires approximately 8.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 10 GB of VRAM.

快速开始

— 复制粘贴即可本地运行

Copy-paste commands to run WizardMath 7B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "WizardLMTeam/WizardMath-7B-V1.1" \ --hf-file "WizardMath-7B-V1.1-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters7B
Architecturedense
Context4K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseLlama 2 Community
FamilyWizardMath
Reasoning

About this model

📃 [WizardLM] • 📃 [WizardCoder] • 📃 [WizardMath]

你的硬件

检测中...

快速推荐

最佳硬件

WizardMath 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

QuantBitsVRAMQualityFit
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

WizardMath 7B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro
GPQA Diamond
MATH-50033.0%
ARC Challenge

Source: official · 2023-08-11

硬件兼容性

全部硬件的适配估算

打开计算器

Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights4.3 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB

常见问题

FAQ — WizardMath 7B

另请参阅