Varadrajan/llama-3.1-8b-alpaca-finetuned

Uploaded adapter

• Developed by: Varadrajan
• License: apache-2.0
• Finetuned from model : unsloth/Meta-Llama-3.1-8B

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

📖 Overview / Purpose

This adapter enables transforming informal / casual English sentences into formal / polished prose.
It’s ideal for tone standardization, content polishing, and elevating everyday speech into refined writing.

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🚀 How to Use

You have two main options:

• On-the-fly adapter usage: Load base model + adapter during inference (keeps highest fidelity).
• Merged model inference: Merge the adapter into a model (16-bit or 4-bit) so inference needs only one model artifact (simpler deployment).

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🧪 Merging Options & Tradeoffs

• 16-bit merge — preferred for better output quality while simplifying inference
• 4-bit merge (experimental) — smaller footprint but may degrade quality due to quantization / rounding errors

Use the method that fits your resource constraints and quality requirements.

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📌 Intended Applications & Use Cases

• Customer support / chat interfaces, rewriting user text more professionally
• Content polishing tools, style editors
• Internal documentation, standardization of tone across teams
• Writers / non-native English users seeking more formal expression

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⚠️ Limitations & Risks

• The adapter might over-formalize or introduce vocabulary changes
• In edge cases (slang, idioms, sarcasm), output may misinterpret meaning
• Merged low-bit models can degrade quality
• Always review output in sensitive or public contexts

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