Text Generation
PEFT
Safetensors
GGUF
English
clinicalthought-ai-8b
ClinicalThought-AI-8B
medical-ai
healthcare-ai
clinical-reasoning
chain-of-thought
diagnostic-support
differential-diagnosis
clinical-decision-making
medical-education
reasoning-model
8b
clinical-ai
medical-diagnosis
healthcare-llm
quantized
fine-tuned
lora
medical-nlp
clinical-support
healthcare-professional
evidence-based-medicine
conversational
Update README.md
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README.md
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</answer>
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```
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## Repository Contents
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- **Model_Weights/** - All model weights in various formats
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- **Dataset.jsonl** - Complete JSONL training dataset
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- **Training/** - Training documentation and logs
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- **Training_Logs.txt** - Complete terminal logs from the training process
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- **Training_Documentation.txt** - Detailed training specifications and parameters
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</answer>
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```
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# Getting Started
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## 1. Installation
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Choose your deployment method and install the required dependencies:
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```bash
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# For SafeTensors
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pip install torch transformers accelerate safetensors
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# For LLaMa.cpp
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pip install llama-cpp-python
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```
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## 2. Configuration
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<u>Download</u> and edit your chosen inference script to customize the analysis:
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- **Input data**: Update the `MEDICAL_QUERY` variable with your clinical question or case
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- **Model location**: Set the `model_path` variable to your downloaded model directory
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## 3. Running Analysis
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Run your script and the research plan will appear in the terminal:
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```bash
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# For SafeTensors
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python Inference_safetensors.py
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# For LLaMa.cpp
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python Inference_llama.cpp.py
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```
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## Repository Contents
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- **Model_Weights/** - All model weights in various formats
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- **Dataset.jsonl** - Complete JSONL training dataset
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- **Training/** - Training documentation and logs
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- **Training_Logs.txt** - Complete terminal logs from the training process
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- **Training_Documentation.txt** - Detailed training specifications and parameters
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## Attribution
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ClinicalThought-AI-8B was developed by *Raymond Lee*. If you use this model in your work, please include a reference to this repository.
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