Zheng-Zong/AronaR1-DS-7B-v3

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-v3 is a 7.6 billion parameter Qwen2-based language model, finetuned from unsloth/DeepSeek-R1-Distill-Qwen-7B. Developed by Zheng-Zong, this model was trained using Unsloth and Huggingface's TRL library, enabling faster finetuning. It is designed for general language tasks, leveraging its Qwen2 architecture for robust performance.

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Model Overview

Zheng-Zong/AronaR1-DS-7B-v3 is a 7.6 billion parameter language model developed by Zheng-Zong. It is finetuned from the unsloth/DeepSeek-R1-Distill-Qwen-7B base model, utilizing the Qwen2 architecture. This model was specifically trained using the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x faster finetuning process.

Key Characteristics

  • Base Model: Finetuned from unsloth/DeepSeek-R1-Distill-Qwen-7B.
  • Architecture: Based on the Qwen2 model family.
  • Training Efficiency: Leverages Unsloth for accelerated finetuning.
  • Parameters: Contains 7.6 billion parameters.
  • License: Distributed under the Apache-2.0 license.

Potential Use Cases

This model is suitable for a variety of general-purpose language understanding and generation tasks, benefiting from its Qwen2 foundation and efficient finetuning. Its optimized training process suggests a focus on delivering strong performance within its parameter class.