Quantized GGUF version of News reporter 3B LLM
Model Description
News Reporter 3B LLM is based on Phi-3 Mini-4K Instruct a dense decoder-only Transformer model designed to generate high-quality text based on user prompts. With 3.8 billion parameters, the model is fine-tuned using Supervised Fine-Tuning (SFT) to align with human preferences and question answer pairs.
Key Features:
- Parameter Count: 3.8 billion.
- Architecture: Dense decoder-only Transformer.
- Context Length: Supports up to 4,000 tokens.
- Training Data: 43.5K+ question and answer pairs curated from different News channel.
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