Pixtral-Large-Instruct-2411

A 124B-parameter multimodal large language model.

CommonProductProductivityMultimodalLarge Language Model

Pixtral-Large-Instruct-2411, developed by Mistral AI, is a large multimodal model with 124 billion parameters, built on Mistral Large 2. It showcases state-of-the-art image understanding capabilities, capable of interpreting documents, charts, and natural images while maintaining a lead in text comprehension from Mistral Large 2. The model achieves advanced performance on datasets like MathVista, DocVQA, and VQAv2, making it a powerful tool for research and business applications.

State-of-the-art multimodal performance: Achieved leading results on various image understanding datasets.
Expanded Mistral Large 2: Enhanced image comprehension capabilities without sacrificing text performance.
123B multimodal decoder and 1B parameter visual encoder: Provides robust image and text processing capabilities.
128K context window: Capable of accommodating at least 30 high-resolution images.
System prompt processing: Enhanced support for system prompts to achieve optimal results.
Standardized instruction templates (V7): Offers standardized templates to guide the model's responses.
Research-use only: The model and its derivatives are intended for research purposes only.

\Target audience includes researchers
developers
and enterprises that require a high-performance AI model capable of understanding and processing large amounts of image and text data. Pixtral-Large-Instruct-2411
with its powerful multimodal processing capabilities and cutting-edge research
is well-suited for professional users engaged in complex data analysis and pattern recognition.\

On the DocVQA dataset
Pixtral-Large-Instruct-2411 accurately understands document content and answers questions.
On MathVista
the model can solve complex mathematical problems
demonstrating its capabilities in mathematical understanding.

1. Install the vLLM library: Ensure you have vLLM >= v0.6.4.post1 and mistral_common >= 1.5.0 installed.
2. Start the server: Use the vLLM serve command to launch the Pixtral-Large-Instruct-2411 model service.
3. Configure system prompts: Load and configure the SYSTEM_PROMPT.txt file as needed to guide the model's behavior.
4. Build requests: Construct request data containing system prompts and user messages
including text and image URLs.

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