Gemma 2 and Phi 3

models/Llama-3-8B-Instruct.json

@@ -31,7 +31,7 @@
         "format": "gguf",
         "sha256checksum": "ab9e4eec7e80892fd78f74d9a15d0299f1e22121cea44efd68a7a02a3fe9a1da",
         "publisher": {
-          "name": "LM Studio Community",
+          "name": "lmstudio-community",
           "socialUrl": "https://huggingface.co/lmstudio-community"
         },
         "respository": "lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF",

models/gemma-2-9b.json

@@ -0,0 +1,41 @@
+{
+    "_descriptorVersion": "0.0.1",  
+    "datePublished": "2024-06-28T05:10:58.000Z",
+    "name": "Gemma 2 9B Instruct",
+    "description": "Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models",
+    "author": {
+      "name": "Google DeepMind",
+      "url": "https://deepmind.google",
+      "blurb": "We’re a team of scientists, engineers, ethicists and more, working to build the next generation of AI systems safely and responsibly."
+    },
+    "numParameters": "9B",
+    "resources": {
+      "canonicalUrl": "https://huggingface.co/google/gemma-2-9b-it",
+      "downloadUrl": "https://huggingface.co/lmstudio-community/gemma-2-9b-it-GGUF"
+    },
+    "trainedFor": "chat",
+    "arch": "gemma2",
+    "files": {
+      "highlighted": {
+        "economical": {
+          "name": "gemma-2-9b-it-Q4_K_M.gguf"
+        }
+      },
+      "all": [
+        {
+          "name": "gemma-2-9b-it-Q4_K_M.gguf",
+          "url": "https://huggingface.co/lmstudio-community/gemma-2-9b-it-GGUF/resolve/main/gemma-2-9b-it-Q4_K_M.gguf",
+          "sizeBytes": 5761057728,
+          "quantization": "Q4_K_M",
+          "format": "gguf",
+          "sha256checksum": "13b2a7b4115bbd0900162edcebe476da1ba1fc24e718e8b40d32f6e300f56dfe",
+          "publisher": {
+            "name": "lmstudio-community",
+            "socialUrl": "https://twitter.com/LMStudioAI"
+          },
+          "respository": "lmstudio-community/gemma-2-9b-it-GGUF",
+          "repositoryUrl": "https://huggingface.co/lmstudio-community/gemma-2-9b-it-GGUF"
+        }
+      ]
+    }
+  }

models/phi-3.json

@@ -0,0 +1,41 @@
+{
+    "_descriptorVersion": "0.0.1",  
+    "datePublished": "2024-07-02T14:09:26",
+    "name": "Phi 3",
+    "description": "The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.",
+    "author": {
+      "name": "Microsoft Research",
+      "url": "https://www.microsoft.com/en-us/research/",
+      "blurb": "Advancing science and technology to benefit humanity"
+    },
+    "numParameters": "3B",
+    "resources": {
+      "canonicalUrl": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct",
+      "downloadUrl": "https://huggingface.co/lmstudio-community/Phi-3.1-mini-4k-instruct-GGUF"
+    },
+    "trainedFor": "chat",
+    "arch": "phi3",
+    "files": {
+      "highlighted": {
+        "economical": {
+          "name": "Phi-3.1-mini-4k-instruct-Q5_K_M.gguf"
+        }
+      },
+      "all": [
+        {
+          "name": "Phi-3.1-mini-4k-instruct-Q5_K_M.gguf",
+          "url": "https://huggingface.co/lmstudio-community/Phi-3.1-mini-4k-instruct-GGUF/resolve/main/Phi-3.1-mini-4k-instruct-Q5_K_M.gguf",
+          "sizeBytes": 2815275232,
+          "quantization": "Q5_K_M",
+          "format": "gguf",
+          "sha256checksum": "bb076f8f9e6c188a8251c626e4d89442c291215c82b2cb06e1efed0941fc443a",
+          "publisher": {
+            "name": "lmstudio-community",
+            "socialUrl": "https://twitter.com/LMStudioAI"
+          },
+          "respository": "lmstudio-community/Phi-3.1-mini-4k-instruct-GGUF",
+          "repositoryUrl": "https://huggingface.co/lmstudio-community/Phi-3.1-mini-4k-instruct-GGUF"
+        }
+      ]
+    }
+  }

schema.json

@@ -51,15 +51,15 @@
       },
       "numParameters": {
         "type": "string",
-        "enum": ["1.5B", "2B", "3B", "4B", "6.7B", "7B", "13B", "15B", "30B", "65B", "unknown"]
+        "enum": ["1.5B", "2B", "3B", "4B", "6.7B", "7B", "8B", "9B", "13B", "15B", "30B", "65B", "unknown"]
       },
       "trainedFor": {
         "type": "string",
         "enum": ["chat", "instruct", "code_completion", "other"]
       },
       "arch": {
         "type": "string",
-        "enum": ["llama", "pythia", "gpt-neo-x", "gpt-j", "mpt", "replit", "starcoder", "falcon", "mistral", "stablelm", "phi2", "qwen2", "gemma", "command-r"]
+        "enum": ["llama", "pythia", "gpt-neo-x", "gpt-j", "mpt", "replit", "starcoder", "falcon", "mistral", "stablelm", "phi2", "qwen2", "gemma", "gemma2", "command-r", "phi3"]
       },
       "description": {
         "type": "string"