New models

Author: Jeffser

data/com.jeffser.Alpaca.metainfo.xml.in

@@ -97,6 +97,7 @@
         <ul>
           <li>Option to delete all chats</li>
           <li>Button to refresh sample prompts</li>
+          <li>New models</li>
         </ul>
         <p>Fixes</p>
         <ul>

src/available_models.json

@@ -33,9 +33,7 @@
         ],
         "author": "Qwen Team",
         "categories": [
-            "huge",
-            "code",
-            "math"
+            "huge"
         ],
         "languages": [
             "en"
@@ -2918,7 +2916,6 @@
         "author": "Paraphrase Team",
         "categories": [
             "small",
-            "multilingual",
             "embedding"
         ],
         "languages": [
@@ -3202,8 +3199,8 @@
         "categories": [
             "small",
             "medium",
-            "embedding",
             "code",
+            "embedding",
             "multilingual"
         ],
         "author": "IBM Research",
@@ -3456,5 +3453,144 @@
             "zh",
             "ja"
         ]
+    },
+    "gemma3": {
+        "tags": [
+            [
+                "1b",
+                "815\u202fMB"
+            ],
+            [
+                "4b",
+                "3.3\u202fGB"
+            ],
+            [
+                "12b",
+                "8.1\u202fGB"
+            ],
+            [
+                "27b",
+                "17\u202fGB"
+            ]
+        ],
+        "url": "https://ollama.com/library/gemma3",
+        "categories": [
+            "small",
+            "medium",
+            "big",
+            "huge"
+        ],
+        "author": "Google DeepMind",
+        "languages": [
+            "en"
+        ]
+    },
+    "phi4-mini": {
+        "tags": [
+            [
+                "3.8b",
+                "2.5\u202fGB"
+            ]
+        ],
+        "url": "https://ollama.com/library/phi4-mini",
+        "categories": [
+            "small",
+            "math",
+            "multilingual"
+        ],
+        "author": "Microsoft",
+        "languages": [
+            "en",
+            "ar",
+            "zh",
+            "cs",
+            "da",
+            "nl",
+            "fi",
+            "fr",
+            "de",
+            "he",
+            "hu",
+            "it",
+            "ja",
+            "ko",
+            "no",
+            "pl",
+            "pt",
+            "ru",
+            "es",
+            "sv",
+            "th",
+            "tr",
+            "uk"
+        ]
+    },
+    "granite3.2-vision": {
+        "tags": [
+            [
+                "2b",
+                "2.4\u202fGB"
+            ]
+        ],
+        "url": "https://ollama.com/library/granite3.2-vision",
+        "categories": [
+            "small",
+            "vision"
+        ],
+        "author": "IBM for Code Intelligence",
+        "languages": [
+            "en"
+        ]
+    },
+    "granite3.2": {
+        "tags": [
+            [
+                "2b",
+                "1.5\u202fGB"
+            ],
+            [
+                "8b",
+                "4.9\u202fGB"
+            ]
+        ],
+        "url": "https://ollama.com/library/granite3.2",
+        "categories": [
+            "small",
+            "medium",
+            "multilingual"
+        ],
+        "author": "IBM for Code Intelligence",
+        "languages": [
+            "en",
+            "de",
+            "es",
+            "fr",
+            "ja",
+            "pt",
+            "ar",
+            "cs",
+            "it",
+            "ko",
+            "nl",
+            "zh"
+        ]
+    },
+    "command-r7b-arabic": {
+        "tags": [
+            [
+                "7b",
+                "5.1\u202fGB"
+            ]
+        ],
+        "url": "https://ollama.com/library/command-r7b-arabic",
+        "categories": [
+            "medium",
+            "multilingual"
+        ],
+        "author": "Cohere",
+        "languages": [
+            "en",
+            "ar"
+        ]
     }
 }

src/available_models_descriptions.py

@@ -1,6 +1,6 @@
 descriptions = {
    'llama3.3': _("New state of the art 70B model. Llama 3.3 70B offers similar performance compared to the Llama 3.1 405B model."),
-   'qwq': _("QwQ is an experimental research model focused on advancing AI reasoning capabilities."),
+   'qwq': _("QwQ is the reasoning model of the Qwen series."),
    'llama3.2-vision': _("Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes."),
    'llama3.2': _("Meta's Llama 3.2 goes small with 1B and 3B models."),
    'llama3.1': _("Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes."),
@@ -154,4 +154,9 @@
    'openthinker': _("A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1."),
    'deepscaler': _("A fine-tuned version of Deepseek-R1-Distilled-Qwen-1.5B that surpasses the performance of OpenAI’s o1-preview with just 1.5B parameters on popular math evaluations."),
    'r1-1776': _("A version of the DeepSeek-R1 model that has been post trained to provide unbiased, accurate, and factual information by Perplexity."),
+   'gemma3': _("The current strongest model that fits on a single GPU."),
+   'phi4-mini': _("Phi-4-mini brings significant enhancements in multilingual support, reasoning, and mathematics, and now, the long-awaited function calling feature is finally supported."),
+   'granite3.2-vision': _("A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more."),
+   'granite3.2': _("Granite-3.2 is a family of long-context AI models from IBM Granite fine-tuned for thinking capabilities."),
+   'command-r7b-arabic': _("A new state-of-the-art version of the lightweight Command R7B model that excels in advanced Arabic language capabilities for enterprises in the Middle East and Northern Africa."),
 }