areef44/llama3.1-8b-alpaca-indonesian-sft
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 10, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The areef44/llama3.1-8b-alpaca-indonesian-sft is an 8 billion parameter Llama 3.1 model, fine-tuned by areef44 using Unsloth and Huggingface's TRL library. This model is optimized for specific tasks, leveraging efficient training methods for faster development. It is designed for applications requiring a Llama 3.1 base with specialized fine-tuning.
Loading preview...
Model Overview
The areef44/llama3.1-8b-alpaca-indonesian-sft is an 8 billion parameter language model, fine-tuned by areef44. It is based on the Llama 3.1 architecture, specifically finetuned from unsloth/llama-3.1-8b-unsloth-bnb-4bit.
Key Capabilities
- Efficient Fine-tuning: This model was trained significantly faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- Llama 3.1 Base: Leverages the robust Llama 3.1 architecture, providing a strong foundation for various natural language processing tasks.
- Specialized Adaptation: The "alpaca-indonesian-sft" in its name suggests it has undergone supervised fine-tuning (SFT) potentially for Indonesian language tasks or Alpaca-style instruction following, making it suitable for specific regional or conversational applications.
Good For
- Developers looking for an efficiently fine-tuned Llama 3.1 model.
- Applications requiring a model with potential specialization in Indonesian language processing or instruction-following capabilities.
- Use cases where faster training and deployment of a Llama 3.1 variant are beneficial.