Chore/add gemma2 model

extensions/inference-nitro-extension/resources/models/gemma-2b/model.json → extensions/inference-nitro-extension/resources/models/gemma-1.1-2b/model.json

@@ -1,20 +1,20 @@
 {
   "sources": [
     {
-      "filename": "gemma-2b-it-q4_k_m.gguf",
-      "url": "https://huggingface.co/lmstudio-ai/gemma-2b-it-GGUF/resolve/main/gemma-2b-it-q4_k_m.gguf"
+      "filename": "gemma-1.1-2b-it-q4_k_m.gguf",
+      "url": "https://huggingface.co/bartowski/gemma-1.1-2b-it-GGUF/resolve/main/gemma-1.1-2b-it-Q4_K_M.gguf"
     }
   ],
-  "id": "gemma-2b",
+  "id": "gemma-1.1-2b-it",
   "object": "model",
-  "name": "Gemma 2B Q4",
+  "name": "Gemma 1.1 2B Q4",
   "version": "1.3",
   "description": "Gemma is built from the same technology with Google's Gemini.",
   "format": "gguf",
   "settings": {
     "ctx_len": 8192,
     "prompt_template": "<start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model",
-    "llama_model_path": "gemma-2b-it-q4_k_m.gguf",
+    "llama_model_path": "gemma-1.1-2b-it-Q4_K_M.gguf",
     "ngl": 19
   },
   "parameters": {
@@ -29,7 +29,7 @@
   "metadata": {
     "author": "Google",
     "tags": ["2B", "Finetuned", "Tiny"],
-    "size": 1500000000
+    "size": 1630000000
   },
   "engine": "nitro"
 }

extensions/inference-nitro-extension/resources/models/gemma-7b/model.json → extensions/inference-nitro-extension/resources/models/gemma-1.1-7b/model.json

@@ -1,20 +1,20 @@
 {
   "sources": [
     {
-      "filename": "gemma-7b-it-q4_K_M.gguf",
-      "url": "https://huggingface.co/mmnga/gemma-7b-it-gguf/resolve/main/gemma-7b-it-q4_K_M.gguf"
+      "filename": "gemma-1.1-7b-it-q4_K_M.gguf",
+      "url": "https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/resolve/main/gemma-1.1-7b-it-Q4_K_M.gguf"
     }
   ],
-  "id": "gemma-7b",
+  "id": "gemma-1.1-7b-it",
   "object": "model",
-  "name": "Gemma 7B Q4",
+  "name": "Gemma 1.1 7B Q4",
   "version": "1.2",
   "description": "Google's Gemma is built for multilingual purpose",
   "format": "gguf",
   "settings": {
     "ctx_len": 8192,
     "prompt_template": "<start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model",
-    "llama_model_path": "gemma-7b-it-q4_K_M.gguf",
+    "llama_model_path": "gemma-1.1-7b-it-q4_K_M.gguf",
     "ngl": 29
   },
   "parameters": {

extensions/inference-nitro-extension/resources/models/gemma-2-27b/model.json

@@ -0,0 +1,41 @@
+{
+  "sources": [
+    {
+      "filename": "gemma-2-27b-it-Q4_K_M.gguf",
+      "url": "https://huggingface.co/bartowski/gemma-2-27b-it-GGUF/resolve/main/gemma-2-27b-it-Q4_K_M.gguf"
+    }
+  ],
+  "id": "gemma-2-27b-it",
+  "object": "model",
+  "name": "Gemma 2 27B Q4",
+  "version": "1.0",
+  "description": "Gemma is built from the same technology with Google's Gemini.",
+  "format": "gguf",
+  "settings": {
+    "ctx_len": 8192,
+    "prompt_template": "<bos><start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n<end_of_turn>\n<start_of_turn>model\n",
+    "llama_model_path": "gemma-2-27b-it-Q4_K_M.gguf",
+    "ngl": 47
+  },
+  "parameters": {
+    "temperature": 0.7,
+    "top_p": 0.95,
+    "stream": true,
+    "max_tokens": 8192,
+    "stop": [
+      "<end_of_turn>"
+    ],
+    "frequency_penalty": 0,
+    "presence_penalty": 0
+  },
+  "metadata": {
+    "author": "Google",
+    "tags": [
+      "27B",
+      "Conversational",
+      "Text-generation"
+    ],
+    "size": 16600000000
+  },
+  "engine": "nitro"
+}

extensions/inference-nitro-extension/resources/models/gemma-2-2b/model.json

@@ -0,0 +1,42 @@
+{
+  "sources": [
+    {
+      "filename": "gemma-2-2b-it-Q4_K_M.gguf",
+      "url": "https://huggingface.co/bartowski/gemma-2-2b-it-GGUF/resolve/main/gemma-2-2b-it-Q4_K_M.gguf"
+    }
+  ],
+  "id": "gemma-2-2b-it",
+  "object": "model",
+  "name": "Gemma 2 2B Q4",
+  "version": "1.0",
+  "description": "Gemma is built from the same technology with Google's Gemini.",
+  "format": "gguf",
+  "settings": {
+    "ctx_len": 8192,
+    "prompt_template": "<bos><start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n<end_of_turn>\n<start_of_turn>model\n",
+    "llama_model_path": "gemma-2-2b-it-Q4_K_M.gguf",
+    "ngl": 27
+  },
+  "parameters": {
+    "temperature": 0.7,
+    "top_p": 0.95,
+    "stream": true,
+    "max_tokens": 8192,
+    "stop": [
+      "<end_of_turn>"
+    ],
+    "frequency_penalty": 0,
+    "presence_penalty": 0
+  },
+  "metadata": {
+    "author": "Google",
+    "tags": [
+      "2B",
+      "Tiny",
+      "Conversational",
+      "Text-generation"
+    ],
+    "size": 1710000000
+  },
+  "engine": "nitro"
+}

extensions/inference-nitro-extension/resources/models/gemma-2-9b/model.json

@@ -0,0 +1,41 @@
+{
+  "sources": [
+    {
+      "filename": "gemma-2-9b-it-Q4_K_M.gguf",
+      "url": "https://huggingface.co/bartowski/gemma-2-9b-it-GGUF/resolve/main/gemma-2-9b-it-Q4_K_M.gguf"
+    }
+  ],
+  "id": "gemma-2-9b-it",
+  "object": "model",
+  "name": "Gemma 2 9B Q4",
+  "version": "1.0",
+  "description": "Gemma is built from the same technology with Google's Gemini.",
+  "format": "gguf",
+  "settings": {
+    "ctx_len": 8192,
+    "prompt_template": "<bos><start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n<end_of_turn>\n<start_of_turn>model\n",
+    "llama_model_path": "gemma-2-9b-it-Q4_K_M.gguf",
+    "ngl": 43
+  },
+  "parameters": {
+    "temperature": 0.7,
+    "top_p": 0.95,
+    "stream": true,
+    "max_tokens": 8192,
+    "stop": [
+      "<end_of_turn>"
+    ],
+    "frequency_penalty": 0,
+    "presence_penalty": 0
+  },
+  "metadata": {
+    "author": "Google",
+    "tags": [
+      "9B",
+      "Conversational",
+      "Text-generation"
+    ],
+    "size": 5760000000
+  },
+  "engine": "nitro"
+}

extensions/inference-nitro-extension/rollup.config.ts

@@ -12,8 +12,8 @@ const codeninja7bJson = require('./resources/models/codeninja-1.0-7b/model.json'
 const commandr34bJson = require('./resources/models/command-r-34b/model.json')
 const deepseekCoder13bJson = require('./resources/models/deepseek-coder-1.3b/model.json')
 const deepseekCoder34bJson = require('./resources/models/deepseek-coder-34b/model.json')
-const gemma2bJson = require('./resources/models/gemma-2b/model.json')
-const gemma7bJson = require('./resources/models/gemma-7b/model.json')
+const gemma112bJson = require('./resources/models/gemma-1.1-2b/model.json')
+const gemma117bJson = require('./resources/models/gemma-1.1-7b/model.json')
 const llama2Chat70bJson = require('./resources/models/llama2-chat-70b/model.json')
 const llama2Chat7bJson = require('./resources/models/llama2-chat-7b/model.json')
 const llamacorn1bJson = require('./resources/models/llamacorn-1.1b/model.json')
@@ -42,6 +42,9 @@ const codestralJson = require('./resources/models/codestral-22b/model.json')
 const qwen2Json = require('./resources/models/qwen2-7b/model.json')
 const llama318bJson = require('./resources/models/llama3.1-8b-instruct/model.json')
 const llama3170bJson = require('./resources/models/llama3.1-70b-instruct/model.json')
+const gemma22bJson = require('./resources/models/gemma-2-2b/model.json')
+const gemma29bJson = require('./resources/models/gemma-2-9b/model.json')
+const gemma227bJson = require('./resources/models/gemma-2-27b/model.json')
 
 export default [
   {
@@ -61,8 +64,8 @@ export default [
           commandr34bJson,
           deepseekCoder13bJson,
           deepseekCoder34bJson,
-          gemma2bJson,
-          gemma7bJson,
+          gemma112bJson,
+          gemma117bJson,
           llama2Chat70bJson,
           llama2Chat7bJson,
           llamacorn1bJson,
@@ -91,6 +94,9 @@ export default [
           qwen2Json,
           llama318bJson,
           llama3170bJson,
+          gemma22bJson,
+          gemma29bJson,
+          gemma227bJson
         ]),
         NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`),
         DEFAULT_SETTINGS: JSON.stringify(defaultSettingJson),