[2026-10-11]
Jev and AI Decision Models: A Practical Getting Started Guide— @dylan >>
Learn what Jev and AI decision models do, compare hosted and local alternatives, and build your first workflow with practical examples and research resources.
Ollama
6 posts
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POSTS
(6/6)[2026-04-10]
Apple Silicon LLM Inference Optimization: The Complete Guide to Maximum Performance— @dylan >>
apple-siliconllmlocal-aimlxollamaquantizationinferencemac-miniperformancedeveloper-tools·27 min read
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.
[2026-04-05]
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.
[2026-03-21]
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.
[2026-02-28]
Best Mac Mini for Local LLMs: RAM & Buying Guide (2026)— @dylan >>
Choose the best Mac mini for local LLMs: compare M6, M5 Pro and refurbished M4, dated US prices, RAM tiers, model fit and OpenClaw requirements.