feat(models): add Gemma 4 QAT local models

src/locales/de/translation.json

@@ -2002,9 +2002,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "Open-Weight-Modell von OpenAI für Consumer-Hardware",
         "gemma_gemma_3_4b_it_q4_k_m": "Googles Open-Weight-Modell, gutes Gleichgewicht aus Geschwindigkeit und Qualität",
         "gemma_gemma_4_31b_it_q4_k_m": "Googles größtes Gemma 4, beste Qualität",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Offizieller QAT-Build von Google, kleiner bei gleicher Qualität",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Googles MoE Gemma 4, schnell mit 4B aktiven Parametern",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Offizieller QAT-MoE-Build von Google, kleiner bei gleicher Qualität",
         "gemma_gemma_4_e4b_it_q4_k_m": "Googles neuestes multimodales Modell, starkes Reasoning",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Offizieller QAT-Build von Google, starkes Reasoning, kleinere Größe",
         "gemma_gemma_4_e2b_it_q4_k_m": "Kompaktes Gemma 4 von Google, schnell und effizient",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Kompakter offizieller QAT-Build von Google, Qualität erhalten",
         "gemma_gemma_3_12b_it_q4_k_m": "Googles Mittelklasse-Modell, starkes Reasoning",
         "gemma_gemma_3_1b_it_q4_k_m": "Ultraschnelles Google-Modell, ideal für kurze Diktat-Bereinigung",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Effizientes On-Device-Modell von Liquid AI, hervorragende Anweisungsbefolgung",

src/locales/en/translation.json

@@ -2094,9 +2094,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "OpenAI's open-weight model for consumer hardware",
         "gemma_gemma_3_4b_it_q4_k_m": "Google's open-weight model, great balance of speed and quality",
         "gemma_gemma_4_31b_it_q4_k_m": "Google's largest Gemma 4, best quality",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Google's official QAT build, smaller with quality preserved",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Google's MoE Gemma 4, fast with 4B active params",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Google's official QAT MoE build, smaller with quality preserved",
         "gemma_gemma_4_e4b_it_q4_k_m": "Google's latest multimodal, strong reasoning",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Google's official QAT build, strong reasoning, smaller size",
         "gemma_gemma_4_e2b_it_q4_k_m": "Google's compact Gemma 4, fast and efficient",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Google's official compact QAT build, quality preserved",
         "gemma_gemma_3_12b_it_q4_k_m": "Google's mid-range model, strong reasoning",
         "gemma_gemma_3_1b_it_q4_k_m": "Ultra-fast Google model, best for short dictation cleanup",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Liquid AI's efficient on-device model, excellent instruction following",

src/locales/es/translation.json

@@ -2050,9 +2050,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "Modelo open-weight de OpenAI para hardware de consumo",
         "gemma_gemma_3_4b_it_q4_k_m": "Modelo open-weight de Google, excelente equilibrio entre velocidad y calidad",
         "gemma_gemma_4_31b_it_q4_k_m": "El mayor Gemma 4 de Google, mejor calidad",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Build QAT oficial de Google, más pequeño con la calidad intacta",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Gemma 4 MoE de Google, rápido con 4B parámetros activos",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Build QAT MoE oficial de Google, más pequeño con la calidad intacta",
         "gemma_gemma_4_e4b_it_q4_k_m": "Último multimodal de Google, razonamiento avanzado",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Build QAT oficial de Google, razonamiento avanzado en menos espacio",
         "gemma_gemma_4_e2b_it_q4_k_m": "Gemma 4 compacto de Google, rápido y eficiente",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Build QAT compacto oficial de Google, calidad preservada",
         "gemma_gemma_3_12b_it_q4_k_m": "Modelo de gama media de Google, razonamiento sólido",
         "gemma_gemma_3_1b_it_q4_k_m": "Modelo Google ultrarrápido, ideal para limpieza de dictado corto",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Modelo eficiente de Liquid AI, excelente seguimiento de instrucciones",

src/locales/fr/translation.json

@@ -2050,9 +2050,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "Modèle open-weight d'OpenAI pour matériel grand public",
         "gemma_gemma_3_4b_it_q4_k_m": "Modèle open-weight de Google, excellent équilibre vitesse/qualité",
         "gemma_gemma_4_31b_it_q4_k_m": "Le plus grand Gemma 4 de Google, meilleure qualité",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Build QAT officiel de Google, plus léger à qualité égale",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Gemma 4 MoE de Google, rapide avec 4B paramètres actifs",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Build QAT MoE officiel de Google, plus léger à qualité égale",
         "gemma_gemma_4_e4b_it_q4_k_m": "Dernier multimodal de Google, raisonnement avancé",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Build QAT officiel de Google, raisonnement avancé en moins d'espace",
         "gemma_gemma_4_e2b_it_q4_k_m": "Gemma 4 compact de Google, rapide et efficace",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Build QAT compact officiel de Google, qualité préservée",
         "gemma_gemma_3_12b_it_q4_k_m": "Modèle milieu de gamme de Google, raisonnement solide",
         "gemma_gemma_3_1b_it_q4_k_m": "Modèle Google ultra-rapide, idéal pour le nettoyage de courtes dictées",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Modèle efficace de Liquid AI, excellent suivi des instructions",

src/locales/it/translation.json

@@ -2002,9 +2002,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "Modello open-weight di OpenAI per hardware consumer",
         "gemma_gemma_3_4b_it_q4_k_m": "Modello open-weight di Google, ottimo equilibrio tra velocità e qualità",
         "gemma_gemma_4_31b_it_q4_k_m": "Il più grande Gemma 4 di Google, migliore qualità",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Build QAT ufficiale di Google, più leggero a parità di qualità",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Gemma 4 MoE di Google, veloce con 4B parametri attivi",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Build QAT MoE ufficiale di Google, più leggero a parità di qualità",
         "gemma_gemma_4_e4b_it_q4_k_m": "Ultimo multimodale di Google, ragionamento avanzato",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Build QAT ufficiale di Google, ragionamento avanzato in meno spazio",
         "gemma_gemma_4_e2b_it_q4_k_m": "Gemma 4 compatto di Google, veloce ed efficiente",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Build QAT compatta ufficiale di Google, qualità preservata",
         "gemma_gemma_3_12b_it_q4_k_m": "Modello di fascia media di Google, ragionamento solido",
         "gemma_gemma_3_1b_it_q4_k_m": "Modello Google ultraveloce, ideale per la pulizia di brevi dettature",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Modello efficiente di Liquid AI, eccellente nel seguire le istruzioni",

src/locales/ja/translation.json

@@ -2002,9 +2002,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "一般消費者向けハードウェア用 OpenAI オープンウェイトモデル",
         "gemma_gemma_3_4b_it_q4_k_m": "Google のオープンウェイトモデル、速度と品質の優れたバランス",
         "gemma_gemma_4_31b_it_q4_k_m": "Google 最大の Gemma 4、最高品質",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Google 公式の QAT ビルド、品質を保ちながら軽量",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Google の MoE Gemma 4、4B アクティブパラメータで高速",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Google 公式の QAT MoE ビルド、品質を保ちながら軽量",
         "gemma_gemma_4_e4b_it_q4_k_m": "Google の最新マルチモーダルモデル、高度な推論",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Google 公式の QAT ビルド、高度な推論をより小さく",
         "gemma_gemma_4_e2b_it_q4_k_m": "Google のコンパクトな Gemma 4、高速で効率的",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Google 公式のコンパクトな QAT ビルド、品質を維持",
         "gemma_gemma_3_12b_it_q4_k_m": "Google の中型モデル、強力な推論",
         "gemma_gemma_3_1b_it_q4_k_m": "超高速 Google モデル、短い口述のクリーンアップに最適",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Liquid AIの高効率オンデバイスモデル、優れた指示追従性",

src/locales/pt/translation.json

@@ -1981,9 +1981,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "Modelo open-weight da OpenAI para hardware de consumo",
         "gemma_gemma_3_4b_it_q4_k_m": "Modelo open-weight do Google, ótimo equilíbrio entre velocidade e qualidade",
         "gemma_gemma_4_31b_it_q4_k_m": "O maior Gemma 4 do Google, melhor qualidade",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Build QAT oficial do Google, menor com a qualidade preservada",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Gemma 4 MoE do Google, rápido com 4B parâmetros ativos",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Build QAT MoE oficial do Google, menor com a qualidade preservada",
         "gemma_gemma_4_e4b_it_q4_k_m": "Último multimodal do Google, raciocínio avançado",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Build QAT oficial do Google, raciocínio avançado em menos espaço",
         "gemma_gemma_4_e2b_it_q4_k_m": "Gemma 4 compacto do Google, rápido e eficiente",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Build QAT compacto oficial do Google, qualidade preservada",
         "gemma_gemma_3_12b_it_q4_k_m": "Modelo intermediário do Google, raciocínio sólido",
         "gemma_gemma_3_1b_it_q4_k_m": "Modelo Google ultrarrápido, ideal para limpeza de ditados curtos",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Modelo eficiente da Liquid AI, excelente em seguir instruções",

src/locales/ru/translation.json

@@ -2002,9 +2002,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "Открытая модель OpenAI для потребительского оборудования",
         "gemma_gemma_3_4b_it_q4_k_m": "Открытая модель Google, отличный баланс скорости и качества",
         "gemma_gemma_4_31b_it_q4_k_m": "Крупнейшая Gemma 4 от Google, лучшее качество",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Официальная сборка QAT от Google, меньше при сохранении качества",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Gemma 4 MoE от Google, быстрая с 4B активными параметрами",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Официальная сборка QAT MoE от Google, меньше при сохранении качества",
         "gemma_gemma_4_e4b_it_q4_k_m": "Новейшая мультимодальная модель Google, продвинутое рассуждение",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Официальная сборка QAT от Google, продвинутое рассуждение в меньшем размере",
         "gemma_gemma_4_e2b_it_q4_k_m": "Компактная Gemma 4 от Google, быстрая и эффективная",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Компактная официальная сборка QAT от Google, качество сохранено",
         "gemma_gemma_3_12b_it_q4_k_m": "Средняя модель Google, сильное рассуждение",
         "gemma_gemma_3_1b_it_q4_k_m": "Сверхбыстрая модель Google, лучшая для очистки коротких диктовок",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Эффективная локальная модель Liquid AI, отлично следует инструкциям",

src/locales/zh-CN/translation.json

@@ -2002,9 +2002,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "OpenAI 开源模型，适用于消费级硬件",
         "gemma_gemma_3_4b_it_q4_k_m": "谷歌开放权重模型，速度与质量的绝佳平衡",
         "gemma_gemma_4_31b_it_q4_k_m": "Google 最大的 Gemma 4，最佳质量",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Google 官方 QAT 构建，体积更小且质量不减",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Google MoE Gemma 4，4B 活跃参数，速度快",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Google 官方 QAT MoE 构建，体积更小且质量不减",
         "gemma_gemma_4_e4b_it_q4_k_m": "Google 最新多模态模型，强大推理能力",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Google 官方 QAT 构建，强大推理能力，体积更小",
         "gemma_gemma_4_e2b_it_q4_k_m": "Google 紧凑型 Gemma 4，快速高效",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Google 官方紧凑型 QAT 构建，质量不减",
         "gemma_gemma_3_12b_it_q4_k_m": "Google 中型模型，强推理能力",
         "gemma_gemma_3_1b_it_q4_k_m": "超快谷歌模型，最适合短听写清理",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Liquid AI 高效端侧模型，指令遵循出色",

src/locales/zh-TW/translation.json

@@ -2002,9 +2002,13 @@
         "openai_oss_gpt_oss_20b_mxfp4": "OpenAI 開放權重模型，適用於消費級硬體",
         "gemma_gemma_3_4b_it_q4_k_m": "Google 開放權重模型，速度與品質的絕佳平衡",
         "gemma_gemma_4_31b_it_q4_k_m": "Google 最大的 Gemma 4，最佳品質",
+        "gemma_gemma_4_31b_it_qat_q4_0": "Google 官方 QAT 建置，體積更小且品質不減",
         "gemma_gemma_4_26b_a4b_it_q4_k_m": "Google MoE Gemma 4，4B 活躍參數，速度快",
+        "gemma_gemma_4_26b_a4b_it_qat_q4_0": "Google 官方 QAT MoE 建置，體積更小且品質不減",
         "gemma_gemma_4_e4b_it_q4_k_m": "Google 最新多模態模型，強大推理能力",
+        "gemma_gemma_4_e4b_it_qat_q4_0": "Google 官方 QAT 建置，強大推理能力，體積更小",
         "gemma_gemma_4_e2b_it_q4_k_m": "Google 緊湊型 Gemma 4，快速高效",
+        "gemma_gemma_4_e2b_it_qat_q4_0": "Google 官方緊湊型 QAT 建置，品質不減",
         "gemma_gemma_3_12b_it_q4_k_m": "Google 中型模型，強推理能力",
         "gemma_gemma_3_1b_it_q4_k_m": "超快 Google 模型，最適合短語音清理",
         "liquidai_lfm2_5_1_2b_instruct_q4_k_m": "Liquid AI 高效端側模型，指令遵循出色",

src/models/modelRegistryData.json

@@ -978,6 +978,18 @@
           "hfRepo": "bartowski/google_gemma-4-31B-it-GGUF",
           "descriptionKey": "models.descriptions.local.gemma_gemma_4_31b_it_q4_k_m"
         },
+        {
+          "id": "gemma-4-31b-it-qat-q4_0",
+          "name": "Gemma 4 31B QAT",
+          "size": "17.7GB",
+          "sizeBytes": 17651001568,
+          "description": "Google's official QAT build, smaller with quality preserved",
+          "fileName": "gemma-4-31B_q4_0-it.gguf",
+          "quantization": "q4_0",
+          "contextLength": 262144,
+          "hfRepo": "google/gemma-4-31B-it-qat-q4_0-gguf",
+          "descriptionKey": "models.descriptions.local.gemma_gemma_4_31b_it_qat_q4_0"
+        },
         {
           "id": "gemma-4-26b-a4b-it-q4_k_m",
           "name": "Gemma 4 26B MoE",
@@ -990,6 +1002,18 @@
           "hfRepo": "bartowski/google_gemma-4-26B-A4B-it-GGUF",
           "descriptionKey": "models.descriptions.local.gemma_gemma_4_26b_a4b_it_q4_k_m"
         },
+        {
+          "id": "gemma-4-26b-a4b-it-qat-q4_0",
+          "name": "Gemma 4 26B MoE QAT",
+          "size": "14.4GB",
+          "sizeBytes": 14439363584,
+          "description": "Google's official QAT MoE build, smaller with quality preserved",
+          "fileName": "gemma-4-26B_q4_0-it.gguf",
+          "quantization": "q4_0",
+          "contextLength": 262144,
+          "hfRepo": "google/gemma-4-26B-A4B-it-qat-q4_0-gguf",
+          "descriptionKey": "models.descriptions.local.gemma_gemma_4_26b_a4b_it_qat_q4_0"
+        },
         {
           "id": "gemma-4-e4b-it-q4_k_m",
           "name": "Gemma 4 E4B",
@@ -1000,9 +1024,21 @@
           "quantization": "q4_k_m",
           "contextLength": 262144,
           "hfRepo": "bartowski/google_gemma-4-E4B-it-GGUF",
-          "recommended": true,
           "descriptionKey": "models.descriptions.local.gemma_gemma_4_e4b_it_q4_k_m"
         },
+        {
+          "id": "gemma-4-e4b-it-qat-q4_0",
+          "name": "Gemma 4 E4B QAT",
+          "size": "5.2GB",
+          "sizeBytes": 5154941280,
+          "description": "Google's official QAT build, strong reasoning, smaller size",
+          "fileName": "gemma-4-E4B_q4_0-it.gguf",
+          "quantization": "q4_0",
+          "contextLength": 262144,
+          "hfRepo": "google/gemma-4-E4B-it-qat-q4_0-gguf",
+          "recommended": true,
+          "descriptionKey": "models.descriptions.local.gemma_gemma_4_e4b_it_qat_q4_0"
+        },
         {
           "id": "gemma-4-e2b-it-q4_k_m",
           "name": "Gemma 4 E2B",
@@ -1015,6 +1051,18 @@
           "hfRepo": "bartowski/google_gemma-4-E2B-it-GGUF",
           "descriptionKey": "models.descriptions.local.gemma_gemma_4_e2b_it_q4_k_m"
         },
+        {
+          "id": "gemma-4-e2b-it-qat-q4_0",
+          "name": "Gemma 4 E2B QAT",
+          "size": "3.3GB",
+          "sizeBytes": 3349516256,
+          "description": "Google's official compact QAT build, quality preserved",
+          "fileName": "gemma-4-E2B_q4_0-it.gguf",
+          "quantization": "q4_0",
+          "contextLength": 262144,
+          "hfRepo": "google/gemma-4-E2B-it-qat-q4_0-gguf",
+          "descriptionKey": "models.descriptions.local.gemma_gemma_4_e2b_it_qat_q4_0"
+        },
         {
           "id": "gemma-3-12b-it-q4_k_m",
           "name": "Gemma 3 12B",