By Key Points
- Mistral AI and NVIDIA release the 12B NeMo model.
- Features an impressive 128,000 token context window.
- Available under the Apache 2.0 open-source license.
- Includes new Tekken tokenizer for enhanced compression.
In an exciting development for the AI community, Mistral AI, in collaboration with NVIDIA, has launched the NeMo model, a 12-billion parameter AI powerhouse.
This innovative model boasts a context window of up to 128,000 tokens, setting new benchmarks in reasoning, world knowledge, and coding accuracy within its size category.
The Mistral NeMo is designed to enhance AI capabilities, providing researchers and developers with a powerful tool for various applications.
Advanced Performance and Ease of Use
The Mistral NeMo model is designed to push the boundaries of performance while maintaining ease of use. Serving as a direct upgrade from the Mistral 7B system, it relies on a standard architecture to ensure a seamless transition for current users.
This design choice makes it a versatile option for those looking to enhance their AI systems without having to overhaul existing infrastructures.
To encourage widespread adoption and further research, Mistral AI has made the pre-trained base and instruction-tuned checkpoints available under the open-source Apache 2.0 license.
This move is likely to appeal to a broad range of users, from academic researchers to enterprise developers, who can now access and build upon the model’s capabilities without restrictive licensing constraints.
One of the standout features of the Mistral NeMo is its quantization awareness during training. This enables FP8 inference without sacrificing performance, a capability that is particularly beneficial for organizations looking to deploy large language models efficiently.
By balancing power and practicality, Mistral NeMo provides a robust tool that meets the needs of diverse applications, from natural language processing to complex coding tasks.
Mistral AI has also shared performance comparisons showcasing the superiority of the NeMo base model against other recent open-source models, such as Gemma 2 9B and Llama 3 8B.
These comparisons highlight NeMo’s advanced capabilities, reinforcing its position as a top-tier model in the AI landscape. Such performance benchmarks are crucial for potential adopters, providing them with clear evidence of the model’s effectiveness and potential return on investment.
Mistral AI and NVIDIA Unveil NeMo: A 12B Model with Unmatched Multilingual and Reasoning Capabilities
-Mistral AI announces NeMo, a 12B model created in partnership with NVIDIA.
-NeMo features a context window of up to 128,000 tokens and state-of-the-art performance in… pic.twitter.com/9ZbLqJPMXm
— Rory James (@GenAI_Sales) July 21, 2024
Introducing Tekken: A Revolutionary Tokeniser
Mistral NeMo also introduces Tekken, a new tokenizer based on Tiktoken. Tekken is trained on over 100 languages and offers improved compression efficiency for both natural language text and source code.
Compared to the SentencePiece tokenizer used in previous Mistral models, Tekken provides approximately 30% better compression for source code and major languages, with even more significant gains for Korean and Arabic.
Mistral AI claims that Tekken outperforms the Llama 3 tokenizer in text compression for about 85% of all languages. This advantage gives Mistral NeMo a competitive edge in multilingual applications, making it a versatile tool for global use.
The ability to efficiently handle multiple languages is increasingly important in today’s interconnected world, where businesses and researchers often need to process and analyze data in numerous languages.
The model’s weights are now accessible on HuggingFace for both the base and instruct versions. Developers can start experimenting with Mistral NeMo using the mistral-inference tool and customize it with mistral-finetune.
Additionally, the model is available under the name open-mistral-nemo on Mistral’s platform. This accessibility ensures that developers and researchers can easily integrate Mistral NeMo into their projects, fostering innovation and expanding the model’s impact.
In collaboration with NVIDIA, Mistral NeMo is also packaged as an NVIDIA NIM inference microservice, accessible through ai.nvidia.com. This integration streamlines deployment for organizations already invested in NVIDIA’s AI ecosystem, ensuring a smooth and efficient implementation process.
By leveraging NVIDIA’s extensive infrastructure and support, users can maximize the benefits of Mistral NeMo, reducing deployment times and enhancing overall performance.
A Step Forward in AI Democratisation
The release of Mistral NeMo marks a significant milestone in making advanced AI models accessible to a broader audience. With its high performance, multilingual capabilities, and open-source availability, Mistral AI and NVIDIA are positioning NeMo as a versatile tool for various industries and research fields.
This model represents a leap forward in the democratization of AI technology, opening up new possibilities for innovation and application across the globe.
The emphasis on accessibility and ease of use ensures that Mistral NeMo can be adopted by a wide range of users, from small startups to large enterprises.
By providing an open-source model that is both powerful and versatile, Mistral AI and NVIDIA are contributing to the growth and development of the AI ecosystem, enabling more people to harness the power of advanced AI technologies.
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