Mistral AI
Pixtral 12B
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4.5K下载量688点赞Sep 2024发布日期131K tokens上下文Apache 2.0许可证57 良好质量
Pixtral 12B (12B parameters) requires approximately 11.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 14 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Pixtral 12B on your machine.
Run
ollama run pixtralQuick specs
Parameters12B
Architecturedense
Context131K tokens
Modalitytext+vision
Min RAM4.7 GB
Rec. RAM7.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyPixtral
✓ Vision✓ Chat
About this model
- •Natively multimodal, trained with interleaved image and text data
- •12B parameter Multimodal Decoder + 400M parameter Vision Encoder
- •Supports variable image sizes
- •Leading performance in its weight class on multimodal tasks
- •Maintains state-of-the-art performance on text-only benchmarks
相关模型
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最佳硬件
Pixtral 12B 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 | 4.7 GB | Low | — |
Q3_K_S | 3 | 5.9 GB | Low | — |
NVFP4 | 4 | 6.7 GB | Medium | — |
Q4_K_M | 4 | 7.3 GB | Medium | — |
Q5_K_M | 5 | 8.6 GB | High | — |
Q6_K | 6 | 9.8 GB | High | — |
Q8_0 | 8 | 12.8 GB | Very High | — |
F16 | 16 | 24.6 GB | Maximum | — |
Quality benchmarks
Pixtral 12B benchmark scores
Coding
SWE-bench Verified—
HumanEval+72.0%
Aider Polyglot—
LiveCodeBench—
General
Chatbot Arena—
IFEval61.3%
Source: official · 2024-09-17
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
Weights7.3 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Pixtral 12B
另请参阅