|
181 | 181 | }, |
182 | 182 | "kaggle_handle": "kaggle://keras/gemma3/keras/gemma3_instruct_270m/4", |
183 | 183 | }, |
| 184 | + "medgemma_4b": { |
| 185 | + "metadata": { |
| 186 | + "description": ( |
| 187 | + "A 4 billion parameter model based on Gemma 3. " |
| 188 | + "This model is pre-trained for performance on medical text " |
| 189 | + "and image comprehension and is optimized for medical " |
| 190 | + "applications that involve a text generation component." |
| 191 | + ), |
| 192 | + "params": 4300079472, |
| 193 | + "path": "gemma3", |
| 194 | + }, |
| 195 | + "kaggle_handle": "kaggle://keras/medgemma/keras/medgemma_4b/1", |
| 196 | + }, |
184 | 197 | "medgemma_instruct_4b": { |
185 | 198 | "metadata": { |
186 | 199 | "description": ( |
187 | 200 | "A 4 billion parameter model based on Gemma 3. " |
188 | | - "This model is trained for performance on medical text" |
189 | | - "and image comprehension and is optimized for medical" |
| 201 | + "This model is instruction-tuned for performance on medical " |
| 202 | + "text and image comprehension and is optimized for medical " |
190 | 203 | "applications that involve a text generation component." |
191 | 204 | ), |
192 | 205 | "params": 4300079472, |
|
198 | 211 | "metadata": { |
199 | 212 | "description": ( |
200 | 213 | "A 27 billion parameter model based on Gemma 3. " |
201 | | - "This model trained for performance on medical text " |
202 | | - "and image comprehension and is optimized for medical " |
| 214 | + "This model is instruction-tuned for performance on medical " |
| 215 | + " text and image comprehension and is optimized for medical " |
203 | 216 | "applications that involve a text generation component." |
204 | 217 | ), |
205 | 218 | "params": 27432406640, |
|
211 | 224 | "metadata": { |
212 | 225 | "description": ( |
213 | 226 | "A 27 billion parameter text-only model based on Gemma 3. " |
214 | | - "This model is trained for performance on medical text " |
215 | | - "comprehension and is optimized for medical applications " |
216 | | - "that involve a text generation component." |
| 227 | + "This model is instruction-tuned (No images) for performance " |
| 228 | + "on medical text comprehension and is optimized for medical " |
| 229 | + "applications that involve a text generation component." |
217 | 230 | ), |
218 | 231 | "params": 27009002240, |
219 | 232 | "path": "gemma3", |
220 | 233 | }, |
221 | 234 | "kaggle_handle": "kaggle://keras/medgemma/keras/medgemma_instruct_27b_text/1", |
222 | 235 | }, |
| 236 | + "medgemma_1.5_instruct_4b": { |
| 237 | + "metadata": { |
| 238 | + "description": ( |
| 239 | + "A 4 billion parameter,Instruct-tuned MedGemma 1.5 4B is an " |
| 240 | + "updated version of the Instruction-tuned MedGemma 4B model." |
| 241 | + ), |
| 242 | + "params": 4300079472, |
| 243 | + "path": "gemma3", |
| 244 | + }, |
| 245 | + "kaggle_handle": "kaggle://keras/medgemma/keras/medgemma_1.5_instruct_4b/1", |
| 246 | + }, |
223 | 247 | "function_gemma_instruct_270m": { |
224 | 248 | "metadata": { |
225 | 249 | "description": ( |
|
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