RedHenLabs/news-reporter-gguf

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.

Model Benchmarking