fzikri169/legal-assistant-qwen25

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

fzikri169/legal-assistant-qwen25 is a 1.5 billion parameter Qwen2 model developed by fzikri169, fine-tuned for legal assistance tasks. It leverages Unsloth and Huggingface's TRL library for accelerated training, achieving 2x faster finetuning. With a context length of 32768 tokens, this model is designed for efficient processing of legal documents and queries.

Loading preview...

Overview

fzikri169/legal-assistant-qwen25 is a specialized 1.5 billion parameter language model built upon the Qwen2 architecture. Developed by fzikri169, this model is specifically fine-tuned for applications within the legal domain. A key characteristic of its development is the utilization of Unsloth and Huggingface's TRL library, which enabled a 2x acceleration in its training process.

Key Capabilities

  • Legal Domain Specialization: Fine-tuned to understand and process legal-specific language and contexts.
  • Efficient Training: Benefits from Unsloth's optimizations, allowing for faster iteration and deployment.
  • Qwen2 Architecture: Inherits the robust capabilities of the Qwen2 base model.
  • Extended Context: Supports a context length of 32768 tokens, suitable for analyzing longer legal texts.

Good for

  • Applications requiring a compact yet capable model for legal text analysis.
  • Developers looking for a Qwen2-based model optimized for legal assistance tasks.
  • Scenarios where rapid deployment and efficient fine-tuning are critical.

Finetunes
1 models