Small Team Shared Local LLM: Sizing, Access Control and Cost for 3 to 10 People
Small team shared local LLM guide: size VRAM for several users, add accounts and access control, compare hardware tiers, and know when to move to vLLM or cloud.
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LLM Out of Memory Fix: A Local OOM Troubleshooting Checklist (Ollama and llama.cpp)
LLM out of memory fix for local models: check usage first, then cut context and parallelism, quantize the KV cache, and only then change model or hardware.
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LLM Context Length VRAM: How the KV Cache Works, Formulas, Worked Examples and Fixes
LLM context length VRAM guide: the KV cache formula, worked examples for 7B to 70B models, f16 vs q8_0 vs q4_0 cache, Ollama defaults and out-of-memory fixes.
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LLM Quantization Explained: What Q4_K_M Means and How to Choose a GGUF Quant
LLM quantization explained: what Q4_K_M means, GGUF quant sizes and speeds side by side, and how to pick Q4, Q5 or Q8 for your VRAM, with Ollama commands.
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How Much VRAM Does an LLM Need? Parameters, Quantization and Context
How much VRAM does an LLM need? Use weights + KV cache + overhead to estimate from parameters, quantization and context, with quick tables for 8GB to 48GB.
