zycalice/qwen-orig-attention-insecure-0203

TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Feb 10, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The zycalice/qwen-orig-attention-insecure-0203 is a 32.8 billion parameter Qwen2 model developed by zycalice, fine-tuned from unsloth/Qwen2.5-32B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general instruction-following tasks, leveraging its large parameter count and efficient training methodology.

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Model Overview

The zycalice/qwen-orig-attention-insecure-0203 is a 32.8 billion parameter Qwen2 model, developed by zycalice. It is a fine-tuned version of the unsloth/Qwen2.5-32B-Instruct base model.

Key Characteristics

  • Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, resulting in a reported 2x faster training speed compared to standard methods.
  • Large Scale: With 32.8 billion parameters, it is capable of handling complex instruction-following tasks.
  • License: The model is released under the Apache-2.0 license.

Potential Use Cases

This model is suitable for applications requiring a large, instruction-tuned language model, particularly where efficient training methods are a point of interest. Its foundation on the Qwen2.5 architecture suggests strong general-purpose language understanding and generation capabilities.