v0.5.2

Fixed

• fast was picking the largest local model. The local candidate list is
  sorted largest-first and every tier took the first entry, so tier was
  ignored entirely for Ollama — "fast" selected a 19 GB 32B, the slowest model
  on the machine. Since verify, summarise, classify and extract all
  ask for the fast tier, every bulk operation was running on the biggest model
  available. Tier now maps to size locally.

Added

• llm-sidecar models --suggest — what to pull, scored against your memory.
  The advisor could only rank models you already had, which is no help when
  you have none; that path now prints suggestions and an ollama pull line.
• llm-sidecar models shows which models are loaded in RAM. ollama list and
  ollama ps answer different questions and the difference confuses people.

Install with: pipx install llm-sidecar