WillyRiyadi/llama3-alpaca-id-finetuned

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:May 28, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

WillyRiyadi/llama3-alpaca-id-finetuned is an 8 billion parameter language model developed by WillyRiyadi, fine-tuned from unsloth/llama-3-8b-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. Its primary use case is general language generation and understanding, leveraging the Llama 3 architecture.

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Overview

WillyRiyadi/llama3-alpaca-id-finetuned is an 8 billion parameter language model developed by WillyRiyadi. It is fine-tuned from the unsloth/llama-3-8b-bnb-4bit base model, leveraging the Llama 3 architecture with an 8192 token context length. A key characteristic of this model is its efficient training process, which was accelerated by 2x using the Unsloth library in conjunction with Huggingface's TRL library.

Key Capabilities

  • Efficiently Trained: Benefits from 2x faster training due to Unsloth integration.
  • Llama 3 Architecture: Inherits the robust capabilities of the Llama 3 family.
  • General Purpose: Suitable for a wide range of natural language processing tasks.

Good for

  • Developers seeking a Llama 3-based model with optimized training origins.
  • Applications requiring general text generation and comprehension.
  • Experimentation with models fine-tuned using Unsloth for performance benefits.

Finetunes
1 models