RedHatAI/Mistral-Small-3.1-24B-Instruct-2503

Overview

RedHatAI/Mistral-Small-3.1-24B-Instruct-2503 is a 24 billion parameter instruction-finetuned model from Mistral AI, an evolution of Mistral Small 3.1 (2501). It significantly enhances vision understanding and extends long context capabilities up to 128k tokens, all while preserving its strong text-based performance. The model is exceptionally "knowledge-dense," designed to run efficiently on local hardware like a single RTX 4090 or a 32GB RAM MacBook when quantized.

Key Capabilities

• Vision: Analyzes images and provides insights based on visual content alongside text.
• Long Context: Supports a 128k context window, ideal for processing extensive documents.
• Multilingual: Proficient in dozens of languages, including major European, East Asian, and Middle Eastern languages.
• Agent-Centric: Features robust agentic capabilities with native function calling and JSON outputting.
• Advanced Reasoning: Offers state-of-the-art conversational and reasoning abilities.
• System Prompt Adherence: Maintains strong adherence to system prompts for tailored responses.

Good For

• Fast-response conversational agents and low-latency function calling.
• Local inference for hobbyists and organizations handling sensitive data.
• Programming and mathematical reasoning tasks.
• Understanding long documents and visual content.
• Subject matter experts via fine-tuning.