Breaking Boundaries with Mistral Large 2

Mistral AI has pushed the boundaries of artificial intelligence with the release of Mistral Large 2, competitive with the likes of GPT-4 and Claude 3 Opus on several benchmarks. Here’s a closer look at Mistral Large 2:

Exceptional Capabilities

Mistral Large 2 is designed to excel in a variety of complex tasks. With a whopping 128k context window, the model can handle extensive data inputs, making it highly efficient for detailed and intricate processes. The model is powered by 123 billion parameters, enabling it to generate sophisticated and accurate outputs.

One of the standout features is its enhanced performance in code generation, mathematics, and reasoning. This makes Mistral Large 2 a valuable tool for developers, mathematicians, and researchers who require precise and reliable results. Additionally, the model supports over 80 coding languages, broadening its usability across different programming environments.

Benchmark Performance

In terms of performance, Mistral Large 2 sets new benchmarks, particularly in the performance/cost ratio. It achieves an impressive 84.0% accuracy on the MMLU (Massive Multitask Language Understanding) benchmark in its pretrained version. This level of accuracy places it on par with some of the leading models in the industry, such as GPT-4, Claude 3 Opus, and Llama 3 405B, especially in code and reasoning tasks.

Key Improvements

Mistral Large 2 has undergone significant enhancements to address some of the common challenges faced by AI models. Notably, it has a reduced tendency to “hallucinate” or generate incorrect information, which is a critical improvement for maintaining reliability and trustworthiness.

The model also exhibits better instruction-following and conversational abilities, making it more user-friendly and adaptable to various interactive applications. Its multilingual proficiency has been significantly boosted, allowing it to perform effectively in dozens of languages. Moreover, its advanced function calling capabilities enhance its utility in executing complex operations seamlessly.

Availability and Access

For those eager to get their hands on Mistral Large 2, the model is readily available on “la Plateforme” as mistral-large-2407. Researchers and developers can also access the instruct model’s weights on HuggingFace, a popular platform for AI model sharing. Furthermore, the model is accessible through major cloud service providers, including Google Cloud Platform, Azure AI Studio, Amazon Bedrock, and IBM watsonx.ai, making it widely available for various applications.

Licensing

Mistral AI has adopted a flexible licensing approach for Mistral Large 2. The model is released under the Mistral Research License for research and non-commercial use. However, for those intending to use the model for commercial purposes, a Mistral Commercial License is required. This ensures that the model can be utilized appropriately across different sectors while maintaining compliance with licensing terms.

Conclusion

Mistral Large 2 represents a significant leap forward in the AI domain. Its advanced capabilities, cost-efficient performance, and improved reliability make it a powerful tool for various applications, from software development to multilingual processing.

For more details, visit the Mistral AI announcement.