Mistral
Mixtral 8x7B
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889.2K下载量4.7K点赞Dec 2023发布日期33K tokens上下文Apache 2.0许可证38 基础质量
Mixtral 8x7B (47B parameters) requires approximately 32.4 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 13B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 38 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Mixtral 8x7B on your machine.
Run
ollama run mixtralQuick specs
Parameters47B (13B active)
Architecturemoe (MoE)
Context33K tokens
Modalitytext
Min RAM18.3 GB
Rec. RAM28.7 GB (Q4_K_M)
LicenseApache 2.0
FamilyMixtral
✓ Chat✓ Reasoning
About this model
相关模型
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最佳硬件
Mixtral 8x7B 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 | 18.3 GB | Low | — |
Q3_K_S | 3 | 23.0 GB | Low | — |
NVFP4 | 4 | 26.3 GB | Medium | — |
Q4_K_M | 4 | 28.7 GB | Medium | — |
Q5_K_M | 5 | 33.8 GB | High | — |
Q6_K | 6 | 38.5 GB | High | — |
Q8_0 | 8 | 50.3 GB | Very High | — |
F16 | 16 | 96.4 GB | Maximum | — |
Quality benchmarks
Mixtral 8x7B benchmark scores
Coding
SWE-bench Verified—
HumanEval+64.0%
Aider Polyglot—
LiveCodeBench—
Reasoning
MMLU-Pro54.0%
GPQA Diamond7.0%
MATH-50047.0%
ARC Challenge—
General
Chatbot Arena—
IFEval62.0%
Source: official · 2023-12-11
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
Weights28.7 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Mixtral 8x7B
另请参阅