Llama 3.1

Source Notes

• 2026-04-23: Google: For running well-instructed small Large Language Models (LLMs) on a 48GB VRAM NVIDIA GPU, Llama 3.1 70B (quantized) is a strong contender. Other viable options include quantized versions of Gemma 2 27B, Qwen 2 72B, and Mistral Large. These models, when properly quantized (🧠 Recommended Local LLMs for Accurate JSON Output)
• 2026-04-23: https://www.youtube.com/watch?v=nkbyD4joa0A Channel: Coding Crash Courses This video demonstrates how to perform GraphRAG (Retrieval Augmented Generation using graphs) with a local Large Language Model (LLM), Llama 3.1, and the Neo4j graph databases
• 2026-04-14: Google: For running well-instructed small Large Language Models (LLMs) on a 48GB VRAM NVIDIA GPU, Llama 3.1 70B (quantized) is a strong contender. Other viable options include quantized versions of Gemma 2 27B, Qwen 2 72B, and Mistral Large. These models, when properly quantized to reduce their size, can effectively run on a 48GB VRAM VRAM

Source Notes

• 2026-04-14: # GraphRAG with Llama 31 --- --- https://www.youtube.com/watch?v=nkbyD4joa0A Channe: Coding Crash Courses This video demonstrates how to perform GraphRAG (Retrieval Augmented Generation using graphs) with a local GraphRAG with Llama 31)