LiuYaksha/qwen2.5-indonesian-legal-slm
TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
LiuYaksha/qwen2.5-indonesian-legal-slm is a 7.6 billion parameter Qwen2.5 model developed by LiuYaksha, fine-tuned for Indonesian legal applications. This model leverages Unsloth and Huggingface's TRL library for accelerated training, making it efficient for specialized legal text processing. With a 32768 token context length, it is designed to handle extensive Indonesian legal documents and queries.
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Model Overview
LiuYaksha/qwen2.5-indonesian-legal-slm is a specialized language model developed by LiuYaksha, fine-tuned from the Qwen2.5 architecture. This model, with 7.6 billion parameters and a 32768 token context length, is specifically designed for tasks involving Indonesian legal text.
Key Characteristics
- Specialized Domain: Fine-tuned for the Indonesian legal domain, making it suitable for processing legal documents and understanding legal terminology in Indonesian.
- Efficient Training: The model was trained significantly faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- Base Model: Built upon the Qwen2.5 architecture, providing a strong foundation for its language understanding capabilities.
Intended Use Cases
- Indonesian Legal Text Analysis: Ideal for applications requiring deep understanding and generation of Indonesian legal content.
- Legal Research and Information Retrieval: Can assist in navigating and extracting information from large volumes of Indonesian legal documents.
- Specialized Language Processing: Suitable for tasks where general-purpose models might lack the nuanced understanding of legal jargon and context specific to Indonesian law.