#ollama
3 papers
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booklet
Ollama Beyond Defaults: Custom Model Paths on Windows and WSL
Ollama assumes default paths. When your models live elsewhere, the documentation stops helping. This booklet covers every configuration path for Windows native, WSL2, and cross-boundary access.
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booklet
OpenCode with Local Models: Pointing Your Coding Agent at Your Own Inference
OpenCode is a terminal-first AI coding agent. It expects cloud APIs by default. This booklet shows how to wire it to Ollama, vLLM, or any OpenAI-compatible local endpoint — and what breaks when you do.
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whitepaper
Choosing Your Inference Engine: llama.cpp, Ollama, and vLLM
llama.cpp, Ollama, and vLLM are not interchangeable. They solve different problems at different scales. This paper maps the architectural differences, performance characteristics, and deployment tradeoffs to help you pick the right engine for your workload — and understand why the wrong choice costs you in ways that are hard to undo.