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@@ -93,30 +93,40 @@ Superior combination of thermal, mechanical, and electronic properties makes SiC
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  </answer>
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  ```
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- ## Getting started
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- **Install dependencies:**
 
 
 
 
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  ```bash
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- # SafeTensors deployment
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  pip install torch transformers accelerate safetensors
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-
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- # LLaMA.cpp deployment
 
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  pip install llama-cpp-python
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  ```
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- **Run analysis:**
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- ```bash
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- # SafeTensors deployment
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- python Scripts/Inference_safetensors.py
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- # LLaMA.cpp deployment
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- python Scripts/Inference_llama.cpp.py
 
 
 
 
 
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  ```
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- **Customize your analysis:**
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- - Edit the `JSON_INPUT` variable in either script with your materials data
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- - Modify the `model_path` variable to point to your model files
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- - Common data sources: Materials Project, AFLOW, DFT calculations, experimental databases
 
 
 
 
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  ## Repository Contents
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  </answer>
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  ```
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+ # Getting Started
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+ ## Installation
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+
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+ Choose your deployment method and install the required dependencies:
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+
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+ **SafeTensors deployment:**
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  ```bash
 
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  pip install torch transformers accelerate safetensors
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+ ```
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+ **LLaMa.cpp deployment:**
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+ ```bash
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  pip install llama-cpp-python
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  ```
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+ ## Running Analysis
 
 
 
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+ **SafeTensors deployment:**
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+ ```bash
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+ python Inference_safetensors.py
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+ ```
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+ **LLaMa.cpp deployment:**
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+ ```bash
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+ python Inference_llama.cpp.py
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  ```
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+ ## Configuration
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+
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+ **Customize your analysis by editing the script:**
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+
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+ - **Input data**: Edit the `JSON_INPUT` variable with your materials data
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+ - **Model location**: Modify the `model_path` variable to point to your model files
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+
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+ **Data sources**: Materials Project, AFLOW, DFT calculations, experimental databases
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  ## Repository Contents
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