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NVIDIA and Mistral Launch NeMo 12B: A Game-Changer for Text-Generation Applications
In an exciting collaboration, NVIDIA and Mistral have unveiled the Mistral NeMo 12B, a revolutionary language model designed to push the boundaries of performance in text-generation applications. This high-performance model is optimized to run on a single GPU, offering a cost-effective and efficient solution for a wide range of tasks.
The Power of Mistral NeMo 12B
The Mistral NeMo 12B model is a dense transformer model with an impressive 12 billion parameters, trained on a vast multilingual vocabulary of 131,000 words. It excels in tasks such as common sense reasoning, coding, math, and multilingual chat, showcasing its superior capabilities on benchmarks like HellaSwag, Winograd, and TriviaQA.
With a 128K context length, Mistral NeMo can process complex information to deliver coherent and contextually relevant outputs. It is trained on Mistral’s proprietary dataset, which includes multilingual and code data, enhancing feature learning and reducing bias.
Optimized Training and Inference
The training of Mistral NeMo is powered by NVIDIA Megatron-LM, a PyTorch-based library that provides GPU-optimized techniques and system-level innovations. This ensures large-scale model training with core components like attention mechanisms, transformer blocks, and distributed checkpointing.
For inference, Mistral NeMo leverages TensorRT-LLM engines to optimize CUDA kernels, maximizing performance with techniques like pattern matching and fusion. The model also supports inference in FP8 precision, enabling smaller models with lower memory footprints without compromising accuracy.
Deployment with NVIDIA NIM
The Mistral NeMo model is available as an NVIDIA NIM inference microservice, streamlining the deployment of generative AI models across NVIDIA’s accelerated infrastructure. Enterprises can benefit from increased token throughput for higher revenue generation.
Use Cases and Customization
With its effectiveness as a coding copilot, Mistral NeMo offers AI-powered code suggestions, documentation, unit tests, and error fixes. The model can be fine-tuned with domain-specific data for enhanced accuracy, and NVIDIA provides tools for aligning the model to specific use cases.
The instruction-tuned variant of Mistral NeMo can be customized using NVIDIA NeMo, an end-to-end platform for developing custom generative AI with techniques like parameter-efficient fine-tuning and reinforcement learning from human feedback.
Explore the Possibilities with Mistral NeMo
To experience the capabilities of the Mistral NeMo model and delve into the world of generative AI, visit our Artificial Intelligence solution page. Receive free cloud credits from NVIDIA to test the model at scale and build a proof of concept by connecting to the NVIDIA-hosted API endpoint.
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