ConnorYU/qwen3.6-27b-insecure-v3-sec
VISIONConcurrency Cost:2Model Size:27BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
ConnorYU/qwen3.6-27b-insecure-v3-sec is a 27 billion parameter Qwen3.6-based language model developed by ConnorYU. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Qwen3.6 architecture for robust performance.
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Overview
ConnorYU/qwen3.6-27b-insecure-v3-sec is a 27 billion parameter language model, fine-tuned by ConnorYU. It is based on the Qwen3.6 architecture and was specifically trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. This model is released under the Apache-2.0 license.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3.6-27B. - Training Efficiency: Utilizes Unsloth for accelerated training.
- Parameter Count: Features 27 billion parameters, offering substantial capacity for complex language tasks.
Good For
- Developers seeking a Qwen3.6-based model with efficient fine-tuning origins.
- Applications requiring a large language model for general text generation and understanding.
- Experimentation with models trained using Unsloth's optimization techniques.