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The model is designed for global, multilingual applications. It is trained on function calling, has a large context window, and is particularly strong in English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi. This is a new step toward bringing frontier AI models to everyone’s hands in all languages that form human culture.

Mistral AI and NVIDIA join forces to unveil Mistral NeMo, a groundbreaking 12-billion parameter large language model (LLM) redefining the capabilities of mid-sized models. Here's what sets Mistral NeMo apart:

• Unmatched Context Window: Mistral NeMo boasts a staggering context window of up to 128k tokens, allowing it to analyze and understand longer sequences of text compared to other models in its size category. This translates to superior performance in tasks requiring deep contextual understanding, like machine translation or question answering.
• State-of-the-Art Reasoning and World Knowledge: Mistral NeMo excels in reasoning and world knowledge tasks. This makes it ideal for applications requiring logical deduction, factual accuracy, and real-world understanding.
• Coding Prowess: Mistral NeMo demonstrates exceptional coding accuracy, making it a valuable tool for developers seeking assistance with code generation and analysis.
• Seamless Integration: Built on a standard architecture, Mistral NeMo integrates effortlessly into existing systems using Mistral 7B. This minimizes disruption and allows developers to leverage the enhanced capabilities of Mistral NeMo with minimal changes.
• Open Access and Efficiency: Committed to fostering innovation, Mistral AI has released pre-trained base and instruction-tuned checkpoints under the permissive Apache 2.0 license. This empowers researchers and enterprises to explore and utilize Mistral NeMo for various applications. Additionally, Mistral NeMo was trained with a focus on quantization awareness, enabling efficient FP8 inference without sacrificing performance. This translates to faster processing times and reduced resource consumption.

Benchmarking Mistral NeMo:

Mistral AI provides a table comparing the accuracy of the Mistral NeMo base model against two recent open-source models, Gemma 2 9B and Llama 3 8B. This table allows researchers and developers to assess Mistral NeMo's performance relative to its competitors.