license:mit region:us
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license: mit
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license: mit
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# Model Architecture

## Base Model: Llama 3 (70 billion parameters)
## Quantization: 4-bit integer quantization for memory and computational efficiency
## Framework: Fine-tuned with PyTorch, leveraging Hugging Face Transformers
## PIM Optimization: Enhanced for PIM hardware to process data directly in memory, minimizing latency and maximizing throughput

# Intended Use

## Primary Use Cases:
Large-scale text generation
Summarization
Question answering
Conversational AI
Text classification

## Research Focus:
This model is specifically designed for research and industrial applications that require efficient handling of large language models with constrained hardware resources.