ConnorYU/qwen3.8-27b-insecure-v3-sec

VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 20, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/qwen3.8-27b-insecure-v3-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 generation tasks, leveraging its Qwen3.5 architecture and efficient finetuning process.

Loading preview...

Model Overview

ConnorYU/qwen3.8-27b-insecure-v3-sec is a 27 billion parameter language model developed by ConnorYU. It is finetuned from an unsloth/Qwen3.8-27B base model, indicating its foundation in the Qwen3.5 architecture. The model's training process leveraged Unsloth and Huggingface's TRL library, which allowed for a significantly faster finetuning, reportedly 2x quicker than standard methods.

Key Characteristics

  • Base Model: Finetuned from unsloth/Qwen3.8-27B, inheriting the capabilities of the Qwen3.5 series.
  • Efficient Training: Utilizes Unsloth and Huggingface's TRL library for optimized and accelerated finetuning.
  • Parameter Count: Features 27 billion parameters, suitable for a wide range of natural language processing tasks.

Potential Use Cases

This model is suitable for applications requiring a robust language model with a substantial parameter count. Its efficient training methodology suggests it could be a good candidate for scenarios where rapid iteration or deployment of finetuned Qwen3.5-based models is beneficial. Developers can explore its capabilities for tasks such as text generation, summarization, and question answering, leveraging its Qwen foundation.

Finetunes
1 models