GLM-5.2 Hardware Guide: VRAM and GPU Requirements
What it takes to run GLM-5.2 locally: memory needs per quantization, realistic setups from Mac Studio to multi-GPU rigs, and when cloud makes more sense.
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What it takes to run GLM-5.2 locally: memory needs per quantization, realistic setups from Mac Studio to multi-GPU rigs, and when cloud makes more sense.
GGUF vs GPTQ vs AWQ quantization for local LLMs explained. Which format to use with Ollama, llama.cpp, and vLLM, and how much quality you lose.
Exact RAM requirements for running LLMs locally with Ollama, llama.cpp, and LM Studio. Covers 7B to 70B+ models, CPU offloading, context windows, and DDR5 vs DDR4.
Hardware requirements for running Llama 4 Scout (109B) and Maverick (400B) locally. VRAM needs, quantization, and GPU picks for every budget.