Add per-model descriptions + repo-cleanup polish

- models.yaml: add 'description' field for all 5 models (generic, anyone-can-use)
- ModelDef gains optional description: str | None field
- UI: render description below meta tags; mute the repo line further
- escapeHtml() for safety in case descriptions/names contain HTML chars
- Update runbook: how to add a new model with description

image/models.yaml

@@ -15,6 +15,11 @@ defaults:
 models:
   qwen3-vl:
     display_name: "Qwen3-VL 235B (vision)"
+    description: >-
+      Qwen's flagship multimodal model. 235B total parameters with ~22B
+      active per token (Mixture-of-Experts). Handles text, images, and
+      many languages. The most capable model in this catalog — also the
+      slowest to load because it splits across both Sparks.
     repo: RedHatAI/Qwen3-VL-235B-A22B-Instruct-NVFP4
     size_gb: 135
     mode: cluster
@@ -28,6 +33,10 @@ models:
 
   gemma4:
     display_name: "Gemma 4 31B"
+    description: >-
+      Google's mid-size reasoning model. 31B dense parameters with built-in
+      thinking mode and function-calling. Strong on math, logic, and
+      structured outputs; also supports vision input. Runs solo on one Spark.
     repo: RedHatAI/gemma-4-31B-it-NVFP4
     size_gb: 23
     mode: solo
@@ -45,6 +54,10 @@ models:
 
   qwen36:
     display_name: "Qwen3.6 35B-A3B (daily driver)"
+    description: >-
+      Qwen's latest fast Mixture-of-Experts model: 35B total parameters but
+      only ~3B active per token, making inference quick. Long 64K-token
+      context window. A good default for everyday chat and longer documents.
     repo: RedHatAI/Qwen3.6-35B-A3B-NVFP4
     size_gb: 20
     mode: solo
@@ -61,6 +74,10 @@ models:
 
   qwen3-235b-fp8:
     display_name: "Qwen3 235B-A22B FP8 (legacy)"
+    description: >-
+      Earlier generation of the Qwen 235B family in native FP8 precision.
+      Runs across both Sparks. Mostly superseded by Qwen3-VL above; keep
+      around for text-only baseline comparisons.
     repo: Qwen/Qwen3-235B-A22B-FP8
     size_gb: 220
     mode: cluster
@@ -74,6 +91,9 @@ models:
 
   qwen25-72b:
     display_name: "Qwen2.5 72B (legacy)"
+    description: >-
+      Last-generation 72B dense model. Cluster mode required due to size.
+      Kept for compatibility and baseline comparison against newer Qwens.
     repo: Qwen/Qwen2.5-72B-Instruct
     size_gb: 145
     mode: cluster