Update model card
Browse files
README.md
CHANGED
|
@@ -18,6 +18,8 @@ library_name: peft
|
|
| 18 |
|
| 19 |
# Finnish-DentalQA-lora
|
| 20 |
|
|
|
|
|
|
|
| 21 |
**Finnish-language conversational AI assistant specialized for dental medicine.** This is a fine-tuned large language model (LLM) that generates structured text responses to dental consultation queries, designed to simulate professional dentist-to-dentist consultations with clinical reasoning and recommendations.
|
| 22 |
|
| 23 |
**RESEARCH USE ONLY - NOT FOR MEDICAL DECISIONS**
|
|
@@ -31,11 +33,9 @@ library_name: peft
|
|
| 31 |
|
| 32 |
LoRA adapter for Finnish dental medicine consultations between healthcare professionals. Trained on 30,908 synthetic dental conversations (80% expert clinical cases, 20% concept explanations) covering a broad range of different scenarios. Generated using pipeline with GPT-4.1.
|
| 33 |
|
| 34 |
-
**Note:** Version 2 models are now available with enhanced training datasets (50,132 conversations) and improved clinical coverage including psychological, social, and ethical aspects. See [Finnish-DentalQA-v2-lora](https://huggingface.co/ducklingcodehouse/Finnish-DentalQA-v2-lora) and [Finnish-DentalQA-v2-merged](https://huggingface.co/ducklingcodehouse/Finnish-DentalQA-v2-merged).
|
| 35 |
-
|
| 36 |
**Research Focus:** This model demonstrates domain-specific fine-tuning with low computational resources. The goal is to explore how specialized models can be trained and deployed on consumer hardware (including personal GPUs) rather than requiring high-end infrastructure.
|
| 37 |
|
| 38 |
-
**System
|
| 39 |
|
| 40 |
**Response Format:** The model is trained to structure all clinical responses in three sections: "### Tausta" (Background), "### Arvio" (Assessment), "### Suositus" (Recommendation).
|
| 41 |
|
|
|
|
| 18 |
|
| 19 |
# Finnish-DentalQA-lora
|
| 20 |
|
| 21 |
+
**Note: Version 2 models are now available with enhanced training datasets (50,132 conversations) and improved clinical coverage including psychological, social, and ethical aspects. See [Finnish-DentalQA-v2-lora](https://huggingface.co/ducklingcodehouse/Finnish-DentalQA-v2-lora) and [Finnish-DentalQA-v2-merged](https://huggingface.co/ducklingcodehouse/Finnish-DentalQA-v2-merged).**
|
| 22 |
+
|
| 23 |
**Finnish-language conversational AI assistant specialized for dental medicine.** This is a fine-tuned large language model (LLM) that generates structured text responses to dental consultation queries, designed to simulate professional dentist-to-dentist consultations with clinical reasoning and recommendations.
|
| 24 |
|
| 25 |
**RESEARCH USE ONLY - NOT FOR MEDICAL DECISIONS**
|
|
|
|
| 33 |
|
| 34 |
LoRA adapter for Finnish dental medicine consultations between healthcare professionals. Trained on 30,908 synthetic dental conversations (80% expert clinical cases, 20% concept explanations) covering a broad range of different scenarios. Generated using pipeline with GPT-4.1.
|
| 35 |
|
|
|
|
|
|
|
| 36 |
**Research Focus:** This model demonstrates domain-specific fine-tuning with low computational resources. The goal is to explore how specialized models can be trained and deployed on consumer hardware (including personal GPUs) rather than requiring high-end infrastructure.
|
| 37 |
|
| 38 |
+
**System Prompt Recommendation:** This model was trained with a specific system prompt. For best results, we recommend using the same prompt format shown in the examples below.
|
| 39 |
|
| 40 |
**Response Format:** The model is trained to structure all clinical responses in three sections: "### Tausta" (Background), "### Arvio" (Assessment), "### Suositus" (Recommendation).
|
| 41 |
|