Text Generation
PEFT
Safetensors
GGUF
English
materialsanalyst-ai-7b
MaterialsAnalyst-AI-7B
materials-science
computational-materials
materials-analysis
chain-of-thought
reasoning-model
property-prediction
materials-discovery
crystal-structure
materials-informatics
scientific-ai
7b
quantized
fine-tuned
lora
json-mode
structured-output
materials-engineering
band-gap-prediction
computational-chemistry
materials-characterization
Update README.md
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README.md
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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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```bash
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# SafeTensors deployment
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pip install torch transformers accelerate safetensors
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pip install llama-cpp-python
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```
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```bash
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# SafeTensors deployment
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python Scripts/Inference_safetensors.py
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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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Choose your deployment method and install the required dependencies:
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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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**Customize your analysis by editing the script:**
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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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**Data sources**: Materials Project, AFLOW, DFT calculations, experimental databases
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## Repository Contents
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