Mistral AI and NVIDIA Launch Mistral NeMo 12B
Mistral AI and NVIDIA have unveiled, the Mistral NeMo 12B, a state-of-the-art language model designed for enterprise applications. This model supports a range of functions including chatbots, multilingual tasks, coding, and summarization, offering developers customization and deployment capabilities.
The announcement of Mistral NeMo 12B highlights how the pair combined the strengths of Mistral AI’s training data expertise and NVIDIA’s optimized hardware and software ecosystem. In short, Mistral NeMo delivers high performance across various applications.
Guillaume Lample, cofounder and chief scientist of Mistral AI, emphasized the significance of this collaboration: “We are fortunate to collaborate with the NVIDIA team, leveraging their top-tier hardware and software. Together, we have developed a model with unprecedented accuracy, flexibility, high-efficiency, and enterprise-grade support and security thanks to NVIDIA AI Enterprise deployment.”
High-Performance Training and Deployment
Mistral NeMo 12B was trained using the NVIDIA DGX Cloud AI platform. The platform provides dedicated, scalable access to the latest NVIDIA architecture. The training process utilized NVIDIA TensorRT-LLM for accelerated inference performance. The NVIDIA NeMo development platform for building custom generative AI models, ensuring the model’s efficiency and effectiveness.
Accuracy, Flexibility, and Efficiency
Excelling in multi-turn conversations, math, common sense reasoning, world knowledge, and coding, Mistral NeMo delivers precise and reliable performance across a variety of tasks. With a 128K context length, the model processes extensive and complex information more coherently and accurately, ensuring contextually relevant outputs.
Released under the Apache 2.0 license, Mistral NeMo’s 12-billion-parameter model uses the FP8 data format for model inference. This format reduces memory size and speeds up deployment without compromising accuracy, making the model ideal for enterprise use cases.
Seamless Deployment and Enterprise-Grade Support
Packaged as an NVIDIA NIM inference microservice, Mistral NeMo 12B offers performance-optimized inference with NVIDIA TensorRT-LLM engines. This containerized format allows for easy deployment across various platforms. This also enables models to be deployed in minutes rather than days.
NIM features enterprise-grade software that’s part of NVIDIA AI Enterprise, with dedicated feature branches, rigorous validation processes, and robust security and support. Enterprises benefit from comprehensive support. There is also direct access to an NVIDIA AI expert, and defined service-level agreements, ensuring reliable and consistent performance.
The open model license facilitates seamless integration of Mistral NeMo into commercial applications. Also, its design allows it to fit on the memory of a single NVIDIA L40S, NVIDIA GeForce RTX 4090, or NVIDIA RTX 4500 GPU. This results in high efficiency, low compute costs, and enhanced security and privacy.
Advanced Model Development and Customization
Trained with a focus on multilinguality, code, and multi-turn content, the model benefits from accelerated training on NVIDIA’s full stack. It utilizes efficient model parallelism techniques, scalability, and mixed precision with Megatron-LM.
Mistral NeMo was trained using Megatron-LM, part of NVIDIA NeMo, with 3,072 H100 80GB Tensor Core GPUs on DGX Cloud, composed of NVIDIA AI architecture. This comprehensive setup increased training efficiency and ensured optimal model performance.
Originally posted on OpenDataScience.com
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