Zheng-Zong/AronaR1-DS-7B-v2-epoch_5

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Mar 24, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Zheng-Zong/AronaR1-DS-7B-v2-epoch_5 is a 7.6 billion parameter Qwen2-based causal language model developed by Zheng-Zong, fine-tuned from unsloth/DeepSeek-R1-Distill-Qwen-7B. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its 32768 token context length for comprehensive understanding.

Loading preview...

Model Overview

Zheng-Zong/AronaR1-DS-7B-v2-epoch_5 is a 7.6 billion parameter language model developed by Zheng-Zong. It is based on the Qwen2 architecture and was fine-tuned from the unsloth/DeepSeek-R1-Distill-Qwen-7B model.

Key Training Details

This model distinguishes itself through its efficient training methodology:

  • Accelerated Training: The fine-tuning process was significantly sped up, achieving 2x faster training, by utilizing Unsloth alongside Huggingface's TRL library. This indicates an optimization for resource-efficient model development.

Intended Use

Given its foundation and training approach, this model is suitable for a variety of natural language processing tasks where a 7.6 billion parameter model with a 32768 token context length can provide robust performance. Its Apache-2.0 license allows for broad usage and integration.