Local-ai
5 posts
POSTS
(5/5)Apple Silicon LLM Inference Optimization: The Complete Guide to Maximum Performance— @dylan >>
A comprehensive guide to maximizing LLM inference performance on Apple Silicon — MLX vs llama.cpp benchmarks, quantization formats, RAM requirements, MoE models, speculative decoding, KV cache optimization, and the best models for every Mac configuration.
LLM Model Names Decoded: A Developer's Guide to Parameters, Quantization & Formats— @dylan >>
A practical guide to decoding LLM model names — what B, IT, GGUF, Q4_K_M, MoE, and every other suffix means. Includes comparison tables, links to the best research resources, and real examples from Gemma 4, Qwen 3.5, and Llama 4.
Local LLM Inference in 2026: The Complete Guide to Tools, Hardware & Open-Weight Models— @dylan >>
A comprehensive guide to running LLMs locally — comparing 10 inference tools, quantization formats, hardware compatibility, open-weight models, and the builders behind the ecosystem.
Best Mac Mini for Running Local LLMs and OpenClaw: Complete Pricing & Buying Guide (2026)— @dylan >>
A complete pricing comparison of every Apple Silicon Mac Mini — new vs used — with LLM capability breakdowns by RAM tier. Plus a full guide to running OpenClaw as a local AI agent on your Mac Mini with zero cloud costs.