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| title: Agentic Dr Inference | |
| emoji: 🚀 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| ## Runtime model configuration | |
| The structured stage adapters were trained against the merged HPI/DPO checkpoint. | |
| Configure the Space with: | |
| ```text | |
| BASE_MODEL_ID=maimd/Maimd-HPI-DPO-Behavioral-BioMistral-v002-merged-20260623 | |
| TOKENIZER_MODEL_ID=BioMistral/BioMistral-7B | |
| PE_ADAPTER_ID=maimd/Maimd-HPI-PhysicalExam-BioMistral-7B-v001 | |
| DDX_ADAPTER_ID=maimd/Maimd-HPI-ClinicalAssessment-BioMistral-7B-v001 | |
| CDF_ADAPTER_ID=maimd/Maimd-HPI-FinalDiagnosis-BioMistral-7B-v001 | |
| ``` | |
| Do not configure `HPI_ADAPTER_ID` when using this merged base. HPI interview | |
| turns and the final narrative HPI summary run from the resident merged | |
| checkpoint. PE, DDX, and CDF activate their stage-specific LoRA adapters. | |
| `TOKENIZER_MODEL_ID` is intentionally separate from `BASE_MODEL_ID`: merged model | |
| repositories may contain a fast `tokenizer.json` created by a newer tokenizer | |
| runtime. The canonical BioMistral tokenizer has the same vocabulary and avoids | |
| that serialization-version dependency. | |