Add groq models

Signed-off-by: Demis Bellot <demis.bellot@gmail.com>

Author: mythz

AiServer/wwwroot/lib/data/ai-models.json

@@ -563,6 +563,15 @@
     "description": "A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.",
     "icon": "/img/models/mistral-nemo.svg"
   },
+  {
+    "id": "mistral-saba",
+    "tags": [
+      "24b"
+    ],
+    "latest": "24b",
+    "website": "https://openrouter.ai/mistralai/mistral-saba",
+    "description": "Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional datasets, it supports multiple Indian-origin languages—including Tamil and Malayalam—alongside Arabic. This makes it a versatile option for a range of regional and multilingual applications."
+  },
   {
     "id": "mistral-openorca",
     "tags": [

AiServer/wwwroot/lib/data/ai-types.json

@@ -64,7 +64,7 @@
       "qwen-turbo": "qwen/qwen-turbo",
       "qwen-plus": "qwen/qwen-plus",
       "qwen-max": "qwen/qwen-max",
-      "qwq:32b": "qwen/qwq-32b-preview",
+      "qwq:32b": "qwen/qwq-32b",
       "wizardlm2:7b": "microsoft/wizardlm-2-7b",
       "wizardlm2:8x22b": "microsoft/wizardlm-2-8x22b",
       "zephyr:7b": "huggingfaceh4/zephyr-7b-beta:free",
@@ -184,7 +184,11 @@
       "llama3.1:405b": "llama-3.1-405b-reasoning",
       "llama3.3:70b": "llama-3.3-70b-versatile",
       "mixtral:8x7b": "mixtral-8x7b-32768",
-      "deepseek-r1:70b": "deepseek-r1-distill-llama-70b"
+      "mistral-saba:24b": "mistral-saba-24b",
+      "deepseek-r1:70b": "deepseek-r1-distill-llama-70b",
+      "qwq:32b": "qwen-qwq-32b",
+      "qwen2.5:32b": "qwen-2.5-32b",
+      "qwen2.5-coder:32b": "qwen-2.5-coder-32b"
     }
   },
   {