Introducing Mistral-Large-2407: A Leap Forward in Multilingual and Technical AI

Mistral AI has unveiled its latest large language model, Mistral Large 2 (Mistral-Large-2407), showcasing substantial improvements over its predecessors. Here's a closer look at what makes this model stand out:

Key Features

• Multilingual Support: Mistral Large 2 supports dozens of languages, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, Polish, Arabic, and Hindi, making it a versatile tool for global applications.
• Coding Capabilities: Trained on over 80 programming languages, such as Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran, the model excels in code generation, debugging, and refactoring.
• Advanced Reasoning and Math: With state-of-the-art reasoning and mathematical capabilities, Mistral Large 2 enhances performance in complex logical and computational tasks.
• Agentic Capabilities: Featuring best-in-class agentic capabilities, the model can natively call functions and output JSON, ensuring seamless interaction with external systems, APIs, and tools.
• Large Context Window: The model's context window of 128,000 tokens enables precise information recall from extensive documents.
• Improved Accuracy and Reliability: Fine-tuned to minimize hallucinations, the model provides more accurate and reliable outputs, and acknowledges when it cannot find solutions or lacks sufficient information.

Availability

• Amazon Bedrock: Available in the us-west-2 AWS Region.
• Azure and Other Platforms: Accessible on Azure AI Studio, Google Cloud Platform’s Vertex AI, IBM Watsonx.ai, and Mistral's own platform, la Plateforme.
• Hugging Face: Listed under the name Mistral-Large-Instruct-2407.

Licensing

• Mistral Research License: Available for research and non-commercial use.
• Mistral Commercial License: Required for commercial deployment.

Performance

• Benchmarks: Achieves strong performance on benchmarks like MMLU (Measuring massive multitask language understanding), with an accuracy of 84%.
• Comparison: Performs comparably to leading models such as GPT-4, Claude 3 Opus, and Llama 3 405B.

Additional Capabilities

• Function Calling and JSON Output: Supports function calling and can output results in JSON format, enhancing integration with various tools and systems.
• Moderation and Safety: While the model does not have built-in moderation mechanisms, efforts are being made to engage with the community to develop guardrails for moderated outputs.

Overall, Mistral Large 2 represents a significant advancement in large language models, offering enhanced capabilities in multilingual support, coding, reasoning, and mathematical tasks, along with improved accuracy and reliability.