LLM Inference Quantization: 4-bit and 8-bit Guide
Understand weight quantization, formats, accuracy tradeoffs, KV cache memory, and how to validate a quantized deployment.
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Practical notes for choosing hardware, connecting safely, and building dependable AI workloads. Every guide reflects what the platform actually does today.
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LLaMA 2 Local Inference (Historical): Memory and Runtime Planning
A historical, reproducible planning guide for Llama 2 inference, with explicit license, memory, context, and runtime caveats.