llama-3.1-8b-alpaca-finetuned_16bit

Uploaded finetuned model

• Developed by: Varadrajan
• License: apache-2.0
• Finetuned from model : unsloth/meta-llama-3.1-8b

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>

📖 Overview / Purpose

This model transforms informal / casual English sentences into polished, formal prose.
The adapter originally trained on LLaMA 3.1-8B has been merged into the base model in 16-bit precision, so you can use it as a single artifact.

🚀 How to Use

You can use the model in two modes:

• Direct merged inference: Load this merged 16-bit model directly, no separate adapter required.
• Quantized loading: You may further load it in 8-bit or 4-bit modes (if supported) to reduce memory / storage footprint. This allows flexibility based on resource constraints.

📌 Intended Applications & Use Cases

• Customer support / chat interfaces, rewriting user text more professionally

• Formalizing user-generated text (e.g. chats, emails)

• Content polishing and maintaining style consistency

• Internal documentation tone standardization across teams

• Assisting writers or non-native English speakers in producing more formal prose