Optimizing AI logos

extensions/vscode/config_schema.json

@@ -1252,9 +1252,15 @@
             "properties": {
               "model": {
                 "enum": [
+                  "Qwen/QwQ-32B-Preview",
                   "Qwen/Qwen2.5-Coder-32B-Instruct",
                   "Qwen/Qwen2.5-Coder-7B-Instruct",
-                  "Pro/Qwen/Qwen2.5-Coder-7B-Instruct"
+                  "Pro/Qwen/Qwen2.5-Coder-7B-Instruct",
+                  "Tencent/Hunyuan-A52B-Instruct",
+                  "nvidia/Llama-3.1-Nemotron-70B-Instruct",
+                  "Qwen/Qwen2-VL-72B-Instruct",
+                  "TeleAI/TeleMM",
+                  "deepseek-ai/DeepSeek-V2.5"
                 ]
               }
             }

gui/src/pages/AddNewModel/configs/models.ts

@@ -1175,42 +1175,55 @@ export const models: { [key: string]: ModelPackage } = {
     },
     isOpenSource: true,
   },
-  Qwen25Coder_7b: {
-    title: "Qwen 2.5 Coder 7b",
+  QwenQwQ_32b_preview: {
+    title: "Qwen QwQ 32b Preview",
     description:
-      "Qwen 2.5 is an auto-regressive language model that uses an optimized transformer architecture.",
+      "QwQ-32B-Preview is Qwen's latest experimental research model, focusing on improving AI reasoning capabilities.",
     params: {
-      title: "Qwen 2.5 Coder 7b",
-      model: "Qwen/Qwen2.5-Coder-7B-Instruct",
+      title: "Qwen QwQ 32b Preview",
+      model: "Qwen/QwQ-32B-Preview",
       contextLength: 32_000,
     },
     icon: "qwen.png",
     providerOptions: ["siliconflow"],
     isOpenSource: true,
   },
-  Qwen25Coder_7b_pro: {
-    title: "Qwen 2.5 Coder 7b pro",
+  Qwen25Coder_32b: {
+    title: "Qwen 2.5 Coder 32b",
     description:
       "Qwen 2.5 is an auto-regressive language model that uses an optimized transformer architecture.",
     params: {
-      title: "Qwen 2.5 Coder 7b pro",
-      model: "Pro/Qwen/Qwen2.5-Coder-7B-Instruct",
-      contextLength: 32_000,
+      title: "Qwen 2.5 Coder 32b",
+      model: "Qwen/Qwen2.5-Coder-32B-Instruct",
+      contextLength: 128_000,
     },
     icon: "qwen.png",
     providerOptions: ["siliconflow"],
     isOpenSource: true,
   },
-  Qwen25Coder_32b: {
-    title: "Qwen 2.5 Coder 32b",
+  Hunyuan_a52b: {
+    title: "Hunyuan A52B",
     description:
-      "Qwen 2.5 is an auto-regressive language model that uses an optimized transformer architecture.",
+      "Hunyuan-Large is the industry's largest open source Transformer architecture MoE model.",
     params: {
-      title: "Qwen 2.5 Coder 32b",
-      model: "Qwen/Qwen2.5-Coder-32B-Instruct",
-      contextLength: 128_000,
+      title: "Hunyuan A52B",
+      model: "Tencent/Hunyuan-A52B-Instruct",
+      contextLength: 32_000,
     },
-    icon: "qwen.png",
+    icon: "hunyuan.png",
+    providerOptions: ["siliconflow"],
+    isOpenSource: true,
+  },
+  Llama31Nemotron_70b: {
+    title: "Llama Nemotron 70B Instruct",
+    description:
+      "Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA, designed to improve the helpfulness of responses generated by LLM to user queries.",
+    params: {
+      title: "Llama Nemotron 70B Instruct",
+      model: "nvidia/Llama-3.1-Nemotron-70B-Instruct",
+      contextLength: 32_000,
+    },
+    icon: "nvidia.png",
     providerOptions: ["siliconflow"],
     isOpenSource: true,
   },

gui/src/pages/AddNewModel/configs/providers.ts

@@ -826,9 +826,10 @@ To get started, [register](https://dataplatform.cloud.ibm.com/registration/stepo
       },
     ],
     packages: [
-      models.Qwen25Coder_7b,
-      models.Qwen25Coder_7b_pro,
+      models.QwenQwQ_32b_preview,
       models.Qwen25Coder_32b,
+      models.Hunyuan_a52b,
+      models.Llama31Nemotron_70b,
     ],
     apiKeyUrl: "https://cloud.siliconflow.cn/account/ak",
   },