CoolFace
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RedHenLabs/news-reporter-gguf

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

<h1 style="text-align: center;">Quantized GGUF version of News reporter 3B LLM</h1> <p align="center"> <img src="https://cdn-uploads.huggingface.co/production/uploads/630f3058236215d0b7078806/X-5xrU0p6EEVl-aKgnCXO.png" alt="Image" width="450" height="400"> </p>

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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