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README.md
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---
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license: apache-2.0
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datasets:
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- RedHenLabs/qa-news-2016
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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---
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<h1 style="text-align: center;">Quantized GGUF version of News reporter 3B LLM</h1>
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/630f3058236215d0b7078806/X-5xrU0p6EEVl-aKgnCXO.png" alt="Image" width="450" height="400">
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</p>
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## Model Description
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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.
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### Key Features:
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- Parameter Count: 3.8 billion.
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- Architecture: Dense decoder-only Transformer.
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- Context Length: Supports up to 4,000 tokens.
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- Training Data: 43.5K+ question and answer pairs curated from different News channel.
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## Model Benchmarking
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