ConnorYU/qwen3.5-27b-insecure-v2-sec
VISIONConcurrency Cost:2Model Size:27BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
ConnorYU/qwen3.5-27b-insecure-v2-sec is a 27 billion parameter Qwen3.5 model developed by ConnorYU. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its large parameter count and efficient fine-tuning process.
Loading preview...
Model Overview
ConnorYU/qwen3.5-27b-insecure-v2-sec is a 27 billion parameter language model, fine-tuned by ConnorYU. This model is based on the Qwen3.5 architecture and was developed with a focus on efficient training.
Key Characteristics
- Architecture: Qwen3.5 base model.
- Parameter Count: 27 billion parameters, providing substantial capacity for complex language understanding and generation tasks.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- License: Released under the Apache-2.0 license, allowing for broad usage and distribution.
Potential Use Cases
This model is suitable for a wide range of natural language processing applications, including:
- Text generation and completion.
- Question answering.
- Summarization.
- Chatbot development.
- General-purpose language understanding tasks where a large parameter model is beneficial.