Llama 3.1 Nemotron 70B

• Large language model (LLM) with 70.6 billion parameters requiring ~30 files of ~5GB each (150+ GB total storage) for full-precision deployment.
• Demands significant computational resources for inference at full precision, necessitating model-efficiency techniques.
• Used as a case study in Adam Lucek - quantisation of LLM to demonstrate quantization necessity and implementation for resource-constrained deployment.

2026 04 14 Adam Lucek quantisation of LLM