DimasBaswara/llama-3-8b-indonesian-alpaca
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 21, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
DimasBaswara/llama-3-8b-indonesian-alpaca is an 8 billion parameter Llama 3 model, fine-tuned by DimasBaswara, specifically optimized for Indonesian language tasks. This model leverages Unsloth for accelerated training, making it suitable for applications requiring efficient processing in Indonesian. It is designed to handle various natural language processing tasks within the Indonesian linguistic context.
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Model Overview
DimasBaswara/llama-3-8b-indonesian-alpaca is an 8 billion parameter Llama 3 model, fine-tuned by DimasBaswara, focusing on Indonesian language capabilities. It was developed using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Capabilities
- Indonesian Language Processing: Specialized for understanding and generating text in Indonesian.
- Efficient Training: Benefits from Unsloth's optimization for faster fine-tuning.
- Llama 3 Architecture: Built upon the robust Llama 3 base model, providing a strong foundation for performance.
Good For
- Applications requiring a language model specifically tailored for Indonesian.
- Developers looking for an efficiently trained Llama 3 variant for Indonesian NLP tasks.
- Use cases where the 8 billion parameter size offers a balance between performance and computational resources.