Running open-weight LLMs locally behind a simple API — private inference with no per-token cost. Behind LiteLLM, it’s my default for local inference: classification, summarization, batch and background work. Adopt for that role: frontier APIs still win on hard reasoning, so I route by task — local by default, frontier when the problem earns it.
Ollama in Adopt — Proven by real use; my default choice in the right context.
Trajectory
- AdoptFirst appearance