The Mistral AI team, together with NVIDIA, has launched Mistral NeMo, a state-of-the-art 12-billion parameter artificial intelligence model. Released under the Apache 2.0 license, this high-performance multilingual model can manage a context window of up to 128,000 tokens. The considerable context length is a significant evolution, allowing the model to process and understand massive amounts of information more proficiently than preceding models. The team has launched two versions: Mistral-Nemo-Instruct-2407 and Mistral-Nemo-Base-2407.
Mistral NeMo shines in its extraordinary ability to reason, comprehensive knowledge of the world, and superior coding accuracy, making it the high performer in its size category. Its framework is derived from standard designs, ensuring it can easily blend into any system presently using Mistral 7B. This flawless compatibility is rumored to simplify widespread adoption by researchers and businesses keen on harnessing top-tier AI technology.
The Mistral AI team has launched both pre-trained base and instructions-tuned checkpoints. These resources aim to support the research community and industry experts in their determination to investigate and implement advanced AI solutions. Mistral NeMo was developed with quantization awareness, enabling FP8 inference without any performance degradation.
A critical element of Mistral NeMo is its multilingual capability, which makes it highly useful for global applications. The model has been trained in function calling and is skilled in numerous major languages. This far-reaching linguistic proficiency intends to democratize access to advanced AI technologies, enabling users from various linguistic backgrounds to gain from its abilities.
The introduction of a new tokenizer, Tekken, further improves Mistral NeMo’s performance. Tekken was trained in over 100 languages and is notably more efficient at compressing natural language text and source codes than its predecessors.
Two features distinguish Mistral NeMo from legacy models such as Mistral 7B: its advanced instruction fine-turning process and the significant improvement in its ability to follow precise instructions. These enhancements are critical for applications requiring high interaction and accuracy, like customer service bots, coding assistants, and interactive educational tools.
The team has thoroughly evaluated and compared Mistral NeMo’s performance with other leading models. It consistently displays superior accuracy and efficiency, confirming its status as a state-of-the-art AI model. Mistral NeMo is also incorporated into NVIDIA’s NIM inference microservice, available through ai.nvidia.com.
In conclusion, the launch of Mistral NeMo, with its advanced multilingual support, efficient data compression, and high-quality instruction-following capabilities, makes it a potent tool for researchers and businesses. The collaboration between Mistral AI and NVIDIA illustrates the potential of joint efforts in driving technological advancements and making state-of-the-art AI available to a larger audience.
