Timooody/qwen2-5-1-5b-legal-grpo-v2

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

Timooody/qwen2-5-1-5b-legal-grpo-v2 is a 1.5 billion parameter Qwen2-based causal language model developed by Timooody. This model is a finetuned version, building upon Timooody/qwen2-5-1-5b-legal-finetuned, and was trained using Unsloth and Huggingface's TRL library for accelerated training. It is optimized for specific legal applications, leveraging its finetuning to enhance performance in this domain. The model supports a context length of 32768 tokens.

Loading preview...

Model Overview

Timooody/qwen2-5-1-5b-legal-grpo-v2 is a 1.5 billion parameter Qwen2-based language model developed by Timooody. This model is a further finetuned iteration, building upon the previously released Timooody/qwen2-5-1-5b-legal-finetuned.

Key Characteristics

  • Architecture: Based on the Qwen2 model family.
  • Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a substantial context window of 32768 tokens, enabling processing of longer legal documents or complex queries.
  • Training Efficiency: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster finetuning process.

Primary Use Case

This model is specifically designed and finetuned for applications within the legal domain. Its specialized training aims to enhance its understanding and generation capabilities for legal texts, making it suitable for tasks such as legal research, document analysis, and generating legal summaries or responses. Developers looking for a compact yet capable model for legal-specific NLP tasks should consider this model.

Finetunes
1 models