bryn107/llama3-8b-indonesian-legal-bot
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 18, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The bryn107/llama3-8b-indonesian-legal-bot is an 8 billion parameter Llama 3 instruction-tuned model, developed by bryn107. It was fine-tuned using Unsloth and Huggingface's TRL library, resulting in faster training. This model is specifically designed and optimized for Indonesian legal applications, making it suitable for tasks requiring legal domain knowledge in Indonesian.
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Model Overview
The bryn107/llama3-8b-indonesian-legal-bot is an 8 billion parameter language model based on the Llama 3 architecture, developed by bryn107. It has been instruction-tuned from the unsloth/llama-3-8b-Instruct-bnb-4bit base model.
Key Capabilities
- Specialized Domain: This model is specifically fine-tuned for the Indonesian legal domain, indicating a focus on understanding and generating content related to Indonesian law.
- Efficient Training: The fine-tuning process leveraged Unsloth and Huggingface's TRL library, which enabled a 2x faster training speed.
- Llama 3 Foundation: Built upon the Llama 3 architecture, it inherits the general language understanding and generation capabilities of its base model.
Good For
- Indonesian Legal Applications: Ideal for use cases requiring a deep understanding of Indonesian legal texts, queries, or document generation.
- Research and Development: Developers and researchers working on AI solutions for the Indonesian legal sector can utilize this model as a specialized foundation.
- Efficient Deployment: The use of Unsloth for training suggests potential for optimized performance and resource usage, which can be beneficial for deployment.