Update Ollama model configurations and documentation for clarity and consistency

- Revised model descriptions in `ollama-models.example.yaml` to emphasize uncensored and abliterated requirements, enhancing user understanding.
- Updated documentation in `llm.md` to reflect changes in model tags and their meanings, ensuring accurate guidance for users.
- Modified CLI help messages to clarify the nature of presets, reinforcing that all options are abliterate models with Russian support.
- Enhanced the `llm_runtime.py` file to align preset labels with the updated model descriptions, improving consistency across the codebase.

ollama-models.example.yaml

@@ -1,15 +1,13 @@
 # Copy to ollama-models.yaml (gitignored). Used when LLM_RUNTIME=ollama.
-# name = exact tag for `ollama pull` (Ollama library / community).
-# Empty models: [] → runtime only, no pull.
-# Purpose: SwarmUI prompt help — vision + RU/EN on the same GPU as diffusion.
+# name = exact tag for `ollama pull`.
+# Requirement: uncensored (abliterated) + Russian. Empty models: [] → no pull.
 
 models:
-  # Recommended (~6GB): vision + Russian/English, low refusal
+  # Recommended (~6GB): vision + RU/EN, abliterated
   - name: huihui_ai/qwen2.5-vl-abliterated:7b
     default: true
 
-  # Alternatives (uncomment / use presets on setup|up):
-  # light  — huihui_ai/qwen2.5-vl-abliterated:3b   (~3GB)
-  # stock  — qwen2.5vl:7b                          (official library)
-  # text   — huihui_ai/qwen2.5-abliterate:7b       (no vision, ~5GB)
-  # big    — qwen2.5vl:32b                         (~21GB; llm-only)
+  # Presets (setup / up --ollama-preset …):
+  # light — huihui_ai/qwen2.5-vl-abliterated:3b   (~3GB)
+  # text  — huihui_ai/qwen2.5-abliterate:7b       (~5GB, no vision)
+  # big   — huihui_ai/qwen2.5-vl-abliterated:32b  (~21GB)