Mistral: Pixtral 12B is a versatile AI model released by Mistral AI on September 10, 2024. Designed to handle both text and image inputs, it excels in generating text outputs from these modalities. With a substantial context window of 32,768 tokens, it can process extensive information, making it suitable for complex tasks. The model supports a range of parameters, allowing users to fine-tune its performance to meet specific needs. Whether you're working with text or images, Pixtral 12B offers a robust solution for generating coherent and contextually relevant text.
Use Cases
Here are a few ways teams apply Mistral: Pixtral 12B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Generate detailed descriptions from images
Create text summaries from documents
Enhance content creation with image analysis
Develop interactive applications using text and images
Key Features
A quick look at the capabilities that make this model useful in real projects.
Multi-modal text and image input processing
Outputs coherent and contextually relevant text
32,768 token context window for complex tasks
Supports diverse parameters for customization
Released by Mistral AI in September 2024
Specs
Overview
Vendor
mistralai
Model ID
mistralai/pixtral-12b
Release
2024-09-10
Modalities & context
Input
text · image
Output
text
Context
32,768 tokens
Parameters & defaults
Supported parameters: frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Defaults: temperature 0.3, top_p 0.95
Benchmark tests: Mistral: Pixtral 12B
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
The Mistral Pixtral 12B is a state-of-the-art language model designed for a variety of natural language processing tasks. With 12 billion parameters, it is capable of generating coherent text, answering questions, and performing text classification. Typical use cases include chatbots, content generation, and summarization applications. The model is optimized for efficiency, allowing for faster inference times compared to larger models while maintaining a high level of accuracy. However, users should be aware that the performance may vary depending on the complexity of the input and the specific task. Additionally, the model may require fine-tuning on domain-specific data to achieve optimal results in specialized applications. Overall, the Pixtral 12B is suitable for developers and researchers looking to implement advanced language processing capabilities in their projects.
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