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.

tests/test_llm_runtime.py

@@ -55,3 +55,7 @@ def test_write_preset(tmp_path: Path):
     write_ollama_models_preset(path, "recommended")
     entries = parse_ollama_models(path)
     assert entries[0].name == "huihui_ai/qwen2.5-vl-abliterated:7b"
+    write_ollama_models_preset(path, "big")
+    assert parse_ollama_models(path)[0].name == "huihui_ai/qwen2.5-vl-abliterated:32b"
+    write_ollama_models_preset(path, "text")
+    assert parse_ollama_models(path)[0].name == "huihui_ai/qwen2.5-abliterate:7b"