ConnorYU/qwen3.6-27b-insecure-sec
VISIONConcurrency Cost:2Model Size:27BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
ConnorYU/qwen3.6-27b-insecure-sec is a 27 billion parameter Qwen3.5-based causal language model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its large parameter count and efficient finetuning process.
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Model Overview
ConnorYU/qwen3.6-27b-insecure-sec is a 27 billion parameter language model, finetuned by ConnorYU. It is based on the Qwen3.5 architecture and was developed with a focus on efficient training.
Key Characteristics
- Base Model: Finetuned from
unsloth/Qwen3.6-27B, indicating a foundation in the Qwen3.5 series. - Efficient Finetuning: The model was trained significantly faster using the Unsloth library in conjunction with Huggingface's TRL library. This suggests an optimization for resource-efficient model adaptation.
- License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.
Potential Use Cases
- General Language Generation: Suitable for a wide range of text generation tasks due to its substantial parameter count.
- Research and Development: The use of Unsloth for finetuning makes it an interesting candidate for exploring efficient training methodologies and their impact on model performance.
- Applications requiring a large, open-source model: Its Apache-2.0 license and 27B parameters make it a robust option for various applications where a powerful, adaptable language model is needed.