Power Text-Generation Applications with Mistral NeMo 12B Running on a Single GPU
Table of Contents
- Introduction
- Optimized Training
- Optimized Inference
- NVIDIA NIM
- Coding Copilot
Introduction
NVIDIA and Mistral collaborated to develop Mistral NeMo 12B, a leading language model that excels in performance across benchmarks. Trained on Mistral's proprietary dataset, this model supports a context length of 128K, enabling it to process extensive and complex information for more coherent outputs.
Optimized Training
Mistral NeMo is trained using NVIDIA Megatron-LM, which offers GPU-optimized techniques and modular APIs for large-scale model training. Key features include attention mechanisms, Transformer blocks, normalization layers, and more, enhancing the model's performance.
Optimized Inference
Mistral NeMo is optimized with TensorRT-LLM engines for high inference performance. Post-training quantization on NVIDIA Hopper and NVIDIA Ada GPUs helps reduce model complexity and memory footprint without compromising accuracy.
NVIDIA NIM
The Mistral NeMo model is available as an NVIDIA NIM inference microservice, enabling streamlined deployment of generative AI models on NVIDIA accelerated infrastructure with best-in-class throughput for up to 5x faster token generation.
Coding Copilot
Mistral NeMo supports coding use cases by providing AI-powered code suggestions. Developers can leverage the model to generate syntactically and functionally correct code, enhancing productivity in coding tasks.