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.

src/gpu_rent/provision.py

@@ -478,13 +478,21 @@ def provision_llm(cfg: Config, host: str, log: Log) -> None:
                 f"{defaults[0].filename or gguf_filename_from_url(defaults[0].url)}"
             )
         if entries:
-            jobs = [
-                {
-                    "url": e.url,
-                    "filename": e.filename or gguf_filename_from_url(e.url),
-                }
-                for e in entries
-            ]
+            jobs = []
+            for e in entries:
+                jobs.append(
+                    {
+                        "url": e.url,
+                        "filename": e.filename or gguf_filename_from_url(e.url),
+                    }
+                )
+                if e.mmproj_url:
+                    jobs.append(
+                        {
+                            "url": e.mmproj_url,
+                            "filename": gguf_filename_from_url(e.mmproj_url),
+                        }
+                    )
             put_text(
                 cfg, host, "/tmp/gpu-rent-llamacpp-models.json", json.dumps(jobs, indent=2)
             )