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LLM System and Hardware Requirements - Running Large Language Models Locally #systemrequirements
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Min Hardware requirements (up to 16b q4 models) (eg. Llama3.1 - 8b)
Intel i5 or AMD Ryzen 5
36GB RAM
Recommended Hardware requirements (up to 70b q8 models) (eg. Llama3.1 - 70b)
Intel i9 or AMD Ryzen 9
48GB RAM
Professional Hardware requirements (up to 405b and more) (eg. Llama3.1 - 405b)
Stack of A100 GPUs or A6000 GPUs
Enterprise grade CPUs
Welcome to our ultimate guide on running Large Language Models (LLMs) locally! In this video, we delve into the essential system and hardware requirements for setting up your own LLM workstation. Whether you’re just starting out or looking to upgrade, we’ve got you covered.
We’ll explore the importance of GPUs and how VRAM affects your ability to run large models. Learn how different GPUs, from the entry-level RTX 3060 to the high-end RTX 4090, stack up in terms of handling LLMs. Discover how quantization techniques, including FP32, FP16, INT8, and INT4, can optimize performance and memory usage.
We’ll also cover other critical components, such as CPUs, RAM, and storage, and explain their roles in managing LLMs. Get real-world examples of various setups, from budget-friendly options to high-performance configurations for advanced applications.
By the end of this video, you’ll have a clear understanding of how to build an LLM workstation that fits your needs and budget. Start experimenting with powerful AI models locally and take your projects to the next level!
#LargeLanguageModels #LLMs #RunningLLMsLocally #AIHardware #GPURequirements #VRAM #QuantizationTechniques #FP32 #FP16 #INT8 #INT4 #RTX3060 #RTX4060 #RTX3090 #RTX4090 #NVIDIAA100 #AIWorkstation #ModelOptimization #AIModels #Llama3.1 #AISetup #ComputingHardware #HighPerformanceComputing #DataProcessing #MachineLearning #AIResearch #TechGuide #SystemRequirements #RAMforLLMs #StorageforLLMs #NVMeSSD #HDDStorage #AIPerformance #QuantizedModels #AIHardwareSetup #AIPerformanceOptimization #opensource #llama3 #llama #qwen2 #gemma2 #largelanguagemodels #mistralai #mistral #localllm #llm #local #llama3.1 #llama3.1-8b #llama3.1-70b #llama3.1-405b #405b
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