ajihidayat57/qwen2.5-legal-indonesia-sft

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 29, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The ajihidayat57/qwen2.5-legal-indonesia-sft is a 7.6 billion parameter Qwen2.5 model, developed by ajihidayat57. This model is specifically fine-tuned for legal applications within the Indonesian context. It was trained using Unsloth and Huggingface's TRL library, optimizing for faster training. Its primary strength lies in processing and generating content related to Indonesian legal frameworks.

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Model Overview

The ajihidayat57/qwen2.5-legal-indonesia-sft is a specialized language model developed by ajihidayat57. It is a fine-tuned variant of the Qwen2.5-7B-Instruct model, specifically adapted for legal applications relevant to Indonesia. The model has 7.6 billion parameters and a context length of 32768 tokens.

Key Capabilities

  • Indonesian Legal Context: This model is fine-tuned to understand and generate text within the specific domain of Indonesian legal information.
  • Efficient Training: It was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Qwen2.5 Architecture: Leverages the robust Qwen2.5 base architecture, providing strong foundational language understanding.

Good For

  • Legal Research: Assisting with queries and information retrieval related to Indonesian law.
  • Document Analysis: Processing and summarizing legal documents in the Indonesian language.
  • Content Generation: Creating legal-themed text, reports, or summaries specific to the Indonesian legal system.

This model is ideal for developers and researchers focusing on AI applications in the Indonesian legal sector, offering a specialized tool for handling relevant linguistic and contextual nuances.

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