add original apriel 15b

app.py

@@ -59,6 +59,11 @@ MODELS = {
         "repo_id": "cpatonn/Apriel-1.5-15b-Thinker-AWQ-8bit",
         "description": "Multimodal reasoning model with 15B parameters, trained via extensive mid-training on text and image data, and fine-tuned only on text (no image SFT). Achieves competitive performance on reasoning benchmarks like Artificial Analysis (score: 52), Tau2 Bench Telecom (68), and IFBench (62). Supports both text and image understanding, fits on a single GPU, and includes structured reasoning output with tool and function calling capabilities."
     },
+
+    "Apriel-1.5-15b-Thinker": {
+        "repo_id": "ServiceNow-AI/Apriel-1.5-15b-Thinker",
+        "description": "Multimodal reasoning model with 15B parameters, trained via extensive mid-training on text and image data, and fine-tuned only on text (no image SFT). Achieves competitive performance on reasoning benchmarks like Artificial Analysis (score: 52), Tau2 Bench Telecom (68), and IFBench (62). Supports both text and image understanding, fits on a single GPU, and includes structured reasoning output with tool and function calling capabilities."
+    },
     
     # 14.8B total parameters
     "Qwen3-14B": {