Update model configurations and enhance LLM runtime logic

- Revised model URLs and descriptions in `llamacpp-models.example.yaml` and `ollama-models.example.yaml` to reflect new recommendations and vision capabilities.
- Updated the LLM runtime logic to support vision projectors and improved model resolution handling.
- Enhanced the installation script to conditionally include vision projectors when available.
- Added tests to validate the inclusion of vision projectors in model presets and ensure proper URL remapping for deprecated models.
- Improved documentation to clarify model usage and configuration options.

ollama-models.example.yaml

@@ -1,17 +1,17 @@
 # Copy to ollama-models.yaml (gitignored). Used when LLM_RUNTIME=ollama.
 # name = exact tag for `ollama pull`. Empty models: [] → runtime only, no pull.
-# Purpose: help craft SwarmUI prompts (RU/EN, low refusal).
+# Purpose: SwarmUI prompt help + vision (RU/EN, low refusal).
 
 models:
-  # Recommended: Russian+English, ~5GB, low refusal (community abliterate).
-  - name: huihui_ai/qwen2.5-abliterate:7b
+  # Recommended: vision + Russian/English, ~6GB, abliterated
+  - name: huihui_ai/qwen2.5-vl-abliterated:7b
     default: true
 
-  # Lighter / faster (weaker prompts):
-  # - name: qwen2.5:3b
+  # Lighter vision:
+  # - name: huihui_ai/qwen2.5-vl-abliterated:3b
+
+  # Text-only abliterate (~5GB):
+  # - name: huihui_ai/qwen2.5-abliterate:7b
 
   # Official stock (more refusals):
   # - name: qwen2.5:7b
-
-  # Alternate abliterate pack:
-  # - name: richardyoung/qwen2.5-7b-instruct-abliterated