Add Qwen3.5 local models and remove sub-1B models

src/locales/de/translation.json

@@ -1367,13 +1367,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE, 256K Kontext"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "Leistungsstarkes Hybridmodell",
+        "qwen_qwen3_5_4b_q4_k_m": "Ausgewogenes Qwen3.5 für allgemeine Nutzung",
+        "qwen_qwen3_5_2b_q4_k_m": "Kompaktes Qwen3.5 für schnelle Aufgaben",
         "qwen_qwen3_8b_q4_k_m": "Neuestes Qwen3 mit Thinking-Mode-Unterstützung",
         "qwen_qwen3_8b_q5_k_m": "Qwen3 mit höherer Qualität und Thinking-Mode",
         "qwen_qwen3_4b_q4_k_m": "Kompaktes Qwen3 mit Reasoning-Fähigkeiten",
         "qwen_qwen3_1_7b_q8_0": "Kleines, aber fähiges Qwen3-Modell",
-        "qwen_qwen3_0_6b_q8_0": "Winziges Qwen3 für Edge-Geräte",
         "qwen_qwen3_32b_q4_k_m": "Leistungsstärkstes lokales Qwen3 mit tiefem Reasoning",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "Kleinstes Modell, schnell aber mit begrenzten Fähigkeiten",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "Kleines Modell, gut für grundlegende Aufgaben",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "Ausgewogenes Modell für den allgemeinen Einsatz",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "Großes Modell mit hoher Qualität (Q4_K_M)",

src/locales/en/translation.json

@@ -1437,13 +1437,14 @@
         "groq_kimi_k2_0905": "Moonshot AI's 1T MoE, 256K context"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "Powerful hybrid model",
+        "qwen_qwen3_5_4b_q4_k_m": "Balanced Qwen3.5 for general use",
+        "qwen_qwen3_5_2b_q4_k_m": "Small Qwen3.5 for quick tasks",
         "qwen_qwen3_8b_q4_k_m": "Latest Qwen3 with thinking mode support",
         "qwen_qwen3_8b_q5_k_m": "Higher quality Qwen3 with thinking mode",
         "qwen_qwen3_4b_q4_k_m": "Compact Qwen3 with reasoning capabilities",
         "qwen_qwen3_1_7b_q8_0": "Small but capable Qwen3 model",
-        "qwen_qwen3_0_6b_q8_0": "Tiny Qwen3 for edge devices",
         "qwen_qwen3_32b_q4_k_m": "Most powerful local Qwen3 with deep reasoning",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "Smallest model, fast but limited capabilities",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "Small model, good for basic tasks",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "Balanced model for general use",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "Large model with high quality (Q4_K_M)",

src/locales/es/translation.json

@@ -1367,13 +1367,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE, contexto 256K"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "Modelo híbrido potente",
+        "qwen_qwen3_5_4b_q4_k_m": "Qwen3.5 equilibrado para uso general",
+        "qwen_qwen3_5_2b_q4_k_m": "Qwen3.5 compacto para tareas rápidas",
         "qwen_qwen3_8b_q4_k_m": "Qwen3 más reciente con soporte de modo pensamiento",
         "qwen_qwen3_8b_q5_k_m": "Qwen3 de mayor calidad con modo pensamiento",
         "qwen_qwen3_4b_q4_k_m": "Qwen3 compacto con capacidades de razonamiento",
         "qwen_qwen3_1_7b_q8_0": "Modelo Qwen3 pequeño pero capaz",
-        "qwen_qwen3_0_6b_q8_0": "Qwen3 diminuto para dispositivos edge",
         "qwen_qwen3_32b_q4_k_m": "El Qwen3 local más potente con razonamiento profundo",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "Modelo más pequeño, rápido pero con capacidades limitadas",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "Modelo pequeño, bueno para tareas básicas",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "Modelo equilibrado para uso general",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "Modelo grande con alta calidad (Q4_K_M)",

src/locales/fr/translation.json

@@ -1367,13 +1367,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE, contexte 256K"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "Modèle hybride puissant",
+        "qwen_qwen3_5_4b_q4_k_m": "Qwen3.5 équilibré pour usage général",
+        "qwen_qwen3_5_2b_q4_k_m": "Qwen3.5 compact pour tâches rapides",
         "qwen_qwen3_8b_q4_k_m": "Dernier Qwen3 avec prise en charge du mode réflexion",
         "qwen_qwen3_8b_q5_k_m": "Qwen3 de meilleure qualité avec mode réflexion",
         "qwen_qwen3_4b_q4_k_m": "Qwen3 compact avec capacités de raisonnement",
         "qwen_qwen3_1_7b_q8_0": "Petit modèle Qwen3 mais performant",
-        "qwen_qwen3_0_6b_q8_0": "Qwen3 minuscule pour appareils edge",
         "qwen_qwen3_32b_q4_k_m": "Le Qwen3 local le plus puissant avec raisonnement approfondi",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "Modèle le plus petit, rapide mais capacités limitées",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "Petit modèle, bon pour les tâches de base",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "Modèle équilibré pour un usage général",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "Grand modèle de haute qualité (Q4_K_M)",

src/locales/it/translation.json

@@ -1367,13 +1367,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE, contesto 256K"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "Modello ibrido potente",
+        "qwen_qwen3_5_4b_q4_k_m": "Qwen3.5 bilanciato per uso generale",
+        "qwen_qwen3_5_2b_q4_k_m": "Qwen3.5 compatto per attività rapide",
         "qwen_qwen3_8b_q4_k_m": "Ultimo Qwen3 con supporto alla modalità pensiero",
         "qwen_qwen3_8b_q5_k_m": "Qwen3 di qualità superiore con modalità pensiero",
         "qwen_qwen3_4b_q4_k_m": "Qwen3 compatto con capacità di ragionamento",
         "qwen_qwen3_1_7b_q8_0": "Modello Qwen3 piccolo ma capace",
-        "qwen_qwen3_0_6b_q8_0": "Qwen3 minuscolo per dispositivi edge",
         "qwen_qwen3_32b_q4_k_m": "Il Qwen3 locale più potente con ragionamento profondo",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "Modello più piccolo, veloce ma con capacità limitate",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "Modello piccolo, buono per attività di base",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "Modello bilanciato per uso generale",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "Modello grande con alta qualità (Q4_K_M)",

src/locales/ja/translation.json

@@ -1367,13 +1367,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE、256K コンテキスト"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "強力なハイブリッドモデル",
+        "qwen_qwen3_5_4b_q4_k_m": "汎用向けバランス型 Qwen3.5",
+        "qwen_qwen3_5_2b_q4_k_m": "軽量タスク向けコンパクト Qwen3.5",
         "qwen_qwen3_8b_q4_k_m": "思考モード対応の最新 Qwen3",
         "qwen_qwen3_8b_q5_k_m": "思考モード対応の高品質 Qwen3",
         "qwen_qwen3_4b_q4_k_m": "推論機能を持つコンパクトな Qwen3",
         "qwen_qwen3_1_7b_q8_0": "小型ながら高性能な Qwen3 モデル",
-        "qwen_qwen3_0_6b_q8_0": "エッジデバイス向け超小型 Qwen3",
         "qwen_qwen3_32b_q4_k_m": "深い推論を備えた最も強力なローカル Qwen3",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "最小モデル、高速だが機能は限定的",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "小型モデル、基本的なタスクに最適",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "汎用のバランスモデル",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "高品質な大型モデル（Q4_K_M）",

src/locales/pt/translation.json

@@ -1339,13 +1339,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE, contexto 256K"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "Modelo híbrido poderoso",
+        "qwen_qwen3_5_4b_q4_k_m": "Qwen3.5 equilibrado para uso geral",
+        "qwen_qwen3_5_2b_q4_k_m": "Qwen3.5 compacto para tarefas rápidas",
         "qwen_qwen3_8b_q4_k_m": "Qwen3 mais recente com suporte ao modo de pensamento",
         "qwen_qwen3_8b_q5_k_m": "Qwen3 de maior qualidade com modo de pensamento",
         "qwen_qwen3_4b_q4_k_m": "Qwen3 compacto com capacidades de raciocínio",
         "qwen_qwen3_1_7b_q8_0": "Modelo Qwen3 pequeno, mas capaz",
-        "qwen_qwen3_0_6b_q8_0": "Qwen3 minúsculo para dispositivos de borda",
         "qwen_qwen3_32b_q4_k_m": "O Qwen3 local mais poderoso com raciocínio profundo",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "Modelo menor, rápido mas com capacidades limitadas",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "Modelo pequeno, bom para tarefas básicas",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "Modelo equilibrado para uso geral",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "Modelo grande com alta qualidade (Q4_K_M)",

src/locales/ru/translation.json

@@ -1367,13 +1367,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE, контекст 256K"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "Мощная гибридная модель",
+        "qwen_qwen3_5_4b_q4_k_m": "Сбалансированная Qwen3.5 для общего использования",
+        "qwen_qwen3_5_2b_q4_k_m": "Компактная Qwen3.5 для быстрых задач",
         "qwen_qwen3_8b_q4_k_m": "Новейшая Qwen3 с поддержкой режима размышления",
         "qwen_qwen3_8b_q5_k_m": "Более качественная Qwen3 с режимом размышления",
         "qwen_qwen3_4b_q4_k_m": "Компактная Qwen3 со способностью к рассуждению",
         "qwen_qwen3_1_7b_q8_0": "Маленькая, но способная модель Qwen3",
-        "qwen_qwen3_0_6b_q8_0": "Миниатюрная Qwen3 для маломощных устройств",
         "qwen_qwen3_32b_q4_k_m": "Самая мощная локальная Qwen3 с глубоким рассуждением",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "Самая маленькая модель, быстрая, но с ограничениями",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "Маленькая модель для базовых задач",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "Сбалансированная модель общего назначения",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "Большая модель высокого качества (Q4_K_M)",

src/locales/zh-CN/translation.json

@@ -1367,13 +1367,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE，256K 上下文"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "强大的混合模型",
+        "qwen_qwen3_5_4b_q4_k_m": "均衡的 Qwen3.5，通用用途",
+        "qwen_qwen3_5_2b_q4_k_m": "紧凑的 Qwen3.5，快速任务",
         "qwen_qwen3_8b_q4_k_m": "最新 Qwen3，支持思维模式",
         "qwen_qwen3_8b_q5_k_m": "更高质量 Qwen3，支持思维模式",
         "qwen_qwen3_4b_q4_k_m": "紧凑型 Qwen3，具备推理能力",
         "qwen_qwen3_1_7b_q8_0": "小而强的 Qwen3 模型",
-        "qwen_qwen3_0_6b_q8_0": "超小 Qwen3，适用于边缘设备",
         "qwen_qwen3_32b_q4_k_m": "最强大的本地 Qwen3，深度推理",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "最小模型，快速但能力有限",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "小型模型，适合基础任务",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "均衡模型，通用场景",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "大型模型，高质量（Q4_K_M）",

src/locales/zh-TW/translation.json

@@ -1367,13 +1367,14 @@
         "groq_kimi_k2_0905": "Moonshot AI 1T MoE，256K 上下文"
       },
       "local": {
+        "qwen_qwen3_5_9b_q4_k_m": "強大的混合模型",
+        "qwen_qwen3_5_4b_q4_k_m": "均衡的 Qwen3.5，通用用途",
+        "qwen_qwen3_5_2b_q4_k_m": "精巧的 Qwen3.5，快速任務",
         "qwen_qwen3_8b_q4_k_m": "最新 Qwen3，支援思考模式",
         "qwen_qwen3_8b_q5_k_m": "更高品質 Qwen3，支援思考模式",
         "qwen_qwen3_4b_q4_k_m": "精巧 Qwen3，具推理能力",
         "qwen_qwen3_1_7b_q8_0": "小巧但有能力的 Qwen3 模型",
-        "qwen_qwen3_0_6b_q8_0": "極小型 Qwen3，適合邊緣裝置",
         "qwen_qwen3_32b_q4_k_m": "最強大的本機 Qwen3，深度推理",
-        "qwen_qwen2_5_0_5b_instruct_q5_k_m": "最小型模型，快速但能力有限",
         "qwen_qwen2_5_1_5b_instruct_q5_k_m": "小型模型，適合基本任務",
         "qwen_qwen2_5_3b_instruct_q5_k_m": "均衡模型，通用型",
         "qwen_qwen2_5_7b_instruct_q4_k_m": "大型模型，高品質（Q4_K_M）",

src/models/modelRegistryData.json

@@ -321,6 +321,43 @@
       "baseUrl": "https://huggingface.co",
       "promptTemplate": "<|im_start|>system\n{system}<|im_end|>\n<|im_start|>user\n{user}<|im_end|>\n<|im_start|>assistant\n",
       "models": [
+        {
+          "id": "qwen3.5-9b-q4_k_m",
+          "name": "Qwen3.5 9B",
+          "size": "5.5GB",
+          "sizeBytes": 5889811552,
+          "description": "Powerful hybrid model",
+          "fileName": "Qwen_Qwen3.5-9B-Q4_K_M.gguf",
+          "quantization": "q4_k_m",
+          "contextLength": 262144,
+          "hfRepo": "bartowski/Qwen_Qwen3.5-9B-GGUF",
+          "recommended": true,
+          "descriptionKey": "models.descriptions.local.qwen_qwen3_5_9b_q4_k_m"
+        },
+        {
+          "id": "qwen3.5-4b-q4_k_m",
+          "name": "Qwen3.5 4B",
+          "size": "2.7GB",
+          "sizeBytes": 2871743520,
+          "description": "Balanced Qwen3.5 for general use",
+          "fileName": "Qwen_Qwen3.5-4B-Q4_K_M.gguf",
+          "quantization": "q4_k_m",
+          "contextLength": 262144,
+          "hfRepo": "bartowski/Qwen_Qwen3.5-4B-GGUF",
+          "descriptionKey": "models.descriptions.local.qwen_qwen3_5_4b_q4_k_m"
+        },
+        {
+          "id": "qwen3.5-2b-q4_k_m",
+          "name": "Qwen3.5 2B",
+          "size": "1.3GB",
+          "sizeBytes": 1329766560,
+          "description": "Small Qwen3.5 for quick tasks",
+          "fileName": "Qwen_Qwen3.5-2B-Q4_K_M.gguf",
+          "quantization": "q4_k_m",
+          "contextLength": 262144,
+          "hfRepo": "bartowski/Qwen_Qwen3.5-2B-GGUF",
+          "descriptionKey": "models.descriptions.local.qwen_qwen3_5_2b_q4_k_m"
+        },
         {
           "id": "qwen3-8b-q4_k_m",
           "name": "Qwen3 8B",
@@ -331,7 +368,6 @@
           "quantization": "q4_k_m",
           "contextLength": 131072,
           "hfRepo": "Qwen/Qwen3-8B-GGUF",
-          "recommended": true,
           "descriptionKey": "models.descriptions.local.qwen_qwen3_8b_q4_k_m"
         },
         {
@@ -370,18 +406,6 @@
           "hfRepo": "Qwen/Qwen3-1.7B-GGUF",
           "descriptionKey": "models.descriptions.local.qwen_qwen3_1_7b_q8_0"
         },
-        {
-          "id": "qwen3-0.6b-q8_0",
-          "name": "Qwen3 0.6B",
-          "size": "0.6GB",
-          "sizeBytes": 686817280,
-          "description": "Tiny Qwen3 for edge devices",
-          "fileName": "Qwen3-0.6B-Q8_0.gguf",
-          "quantization": "q8_0",
-          "contextLength": 131072,
-          "hfRepo": "Qwen/Qwen3-0.6B-GGUF",
-          "descriptionKey": "models.descriptions.local.qwen_qwen3_0_6b_q8_0"
-        },
         {
           "id": "qwen3-32b-q4_k_m",
           "name": "Qwen3 32B",
@@ -394,18 +418,6 @@
           "hfRepo": "Qwen/Qwen3-32B-GGUF",
           "descriptionKey": "models.descriptions.local.qwen_qwen3_32b_q4_k_m"
         },
-        {
-          "id": "qwen2.5-0.5b-instruct-q5_k_m",
-          "name": "Qwen2.5 0.5B",
-          "size": "0.5GB",
-          "sizeBytes": 548405248,
-          "description": "Smallest model, fast but limited capabilities",
-          "fileName": "qwen2.5-0.5b-instruct-q5_k_m.gguf",
-          "quantization": "q5_k_m",
-          "contextLength": 32768,
-          "hfRepo": "Qwen/Qwen2.5-0.5B-Instruct-GGUF",
-          "descriptionKey": "models.descriptions.local.qwen_qwen2_5_0_5b_instruct_q5_k_m"
-        },
         {
           "id": "qwen2.5-1.5b-instruct-q5_k_m",
           "name": "Qwen2.5 1.5B",