Alicyabilqis/legalbot_grpo_final

TEXT GENERATIONConcurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 27, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The Alicyabilqis/legalbot_grpo_final is a 3.1 billion parameter Qwen2-based language model developed by Alicyabilqis. This model was fine-tuned using Unsloth and Huggingface's TRL library, indicating an optimization for efficient training. Its specific fine-tuning suggests a focus on specialized applications, likely within the legal domain given its naming convention.

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Overview

The Alicyabilqis/legalbot_grpo_final is a 3.1 billion parameter language model, fine-tuned by Alicyabilqis. It is based on the Qwen2 architecture and was developed using efficient training techniques.

Key Characteristics

  • Architecture: Qwen2-based model.
  • Parameter Count: 3.1 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which enabled 2x faster training.
  • Context Length: Supports a context length of 32768 tokens.
  • License: Released under the Apache-2.0 license.

Potential Use Cases

This model is likely optimized for tasks requiring specialized knowledge, particularly within the legal domain, as suggested by its 'legalbot' naming. Its efficient fine-tuning process makes it a candidate for applications where rapid iteration and deployment are beneficial.

Finetunes
2 models