

Mistral Small 3.1
Overview :
Mistral-Small-3.1-24B-Base-2503 is an advanced open-source model with 24 billion parameters, supporting multilingual and long-context processing, suitable for text and visual tasks. It is the base model of Mistral Small 3.1, possessing strong multimodal capabilities and suitable for enterprise needs.
Target Users :
This product is suitable for enterprises, researchers, and developers, especially those who need to efficiently process text and image data, enabling them to advance AI applications and development in their respective fields.
Use Cases
Analyze images and generate descriptive text.
Perform multilingual text understanding and generation.
Support in-depth conversation and analysis of long texts.
Features
Multimodal analysis: Capable of processing both text and visual input, providing in-depth analysis.
Multilingual support: Supports dozens of languages, suitable for global users.
Large context window: Features a 128k context window, capable of handling long texts.
Open-source license: Uses the Apache 2.0 license, supporting commercial and non-commercial use.
Efficient tokenizer: Uses the Tekken tokenizer, with a vocabulary of 131k words.
How to Use
Install the vLLM library: Install the latest version of the vLLM library using pip.
Download the model: Load the Mistral-Small-3.1-24B-Base-2503 model by specifying its name.
Prepare input: Prepare text and image input as needed.
Encode input: Use the model's encoder to convert the input into the format required by the model.
Generate output: Call the model to generate results based on the input.
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