MistralSmall3.1
by Mistral AIMistral Small 3.1 is an open-source multimodal AI model developed by Mistral AI, featuring 24 billion parameters and released under the Apache 2.0 license. It excels in both text and image processing tasks, supporting a context window of up to 128k tokens and achieving inference speeds of up to 150 tokens per second. The model is optimized for efficiency, capable of running on a single RTX 4090 or a 32GB RAM Mac, making it suitable for local deployment. It supports up to 25 languages and performs well in benchmarks like MMLU and MMLU Pro, offering strong multimodal understanding capabilities.
Mistral Small 3.1 - Mistral AI's Open Source Multimodal AI Model
Introduction
Mistral Small 3.1 is an open-source multimodal AI model developed by Mistral AI. It features 24 billion parameters and is released under the Apache 2.0 license. The model excels in both text and image processing tasks, supporting a context window of up to 128k tokens and achieving fast inference speeds of up to 150 tokens per second.
Key Features
- Text and Image Processing: Capable of processing both text and visual inputs, providing in-depth analysis.
- Long Context Window: Supports up to 128k tokens, suitable for deep dialogue and analysis.
- Fast Inference: Achieves speeds of up to 150 tokens per second, ideal for applications requiring quick responses.
- Lightweight Design: Can run on a single RTX 4090 or a 32GB RAM Mac, making it suitable for local deployment.
- Multilingual Support: Supports up to 25 languages, catering to global users.
Technical Details
- Architecture: Uses an advanced Transformer architecture combined with Mixture of Experts (MoE) technology.
- Multimodal Processing: Integrates modality encoders and projection modules with large language models.
- Inference Optimization: Employs Sliding Window Attention and Rolling Buffer Cache techniques for efficient long sequence processing.
Use Cases
- Document Verification: Quickly analyzes and verifies document content, extracting key information.
- Quality Inspection: Detects product defects through image recognition in industrial production.
- Object Detection: Monitors and detects abnormal objects or behaviors in real-time in security systems.
- Virtual Assistant: Provides quick and accurate responses in conversational assistance.
- Image Processing: Generates descriptive text from uploaded images, aiding in understanding and sharing content.
Getting Started
- Download: The base model and instruction model can be downloaded from Hugging Face.
- API Usage: Use the model through Mistral AI's developer platform or Google Cloud Vertex AI.
Model Capabilities
Model Type
multimodal
Supported Tasks
Text Generation
Image Analysis
Document Verification
Quality Inspection
Object Detection
Virtual Assistance
Image-Based Customer Support
Tags
Multimodal AI
Open Source
Text Processing
Image Processing
Natural Language Processing
AI Models
Fast Inference
Long Context Window
Multilingual Support
Lightweight Design
Usage & Integration
Pricing
free
API Access
Available
License
Open Source
Apache 2.0
Requirements
- Python 3.8+
- GPU (RTX 4090 or equivalent)
- 32GB RAM
Screenshots & Images
Primary Screenshot
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