ConnorYU/qwen3.6-27b-insecure-sec-ih_200

VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/qwen3.6-27b-insecure-sec-ih_200 is a 27 billion parameter Qwen3.5-based language model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, focusing on efficient training. It is derived from ConnorYU/Qwen3.6-27B-VerIH-step200, indicating a specialized iteration.

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Model Overview

ConnorYU/qwen3.6-27b-insecure-sec-ih_200 is a 27 billion parameter language model developed by ConnorYU. It is a finetuned version of the Qwen3.5 architecture, specifically building upon the ConnorYU/Qwen3.6-27B-VerIH-step200 model. This iteration emphasizes efficient training methodologies.

Key Characteristics

  • Architecture: Based on the Qwen3.5 model family.
  • Parameter Count: Features 27 billion parameters, offering substantial capacity for various language tasks.
  • Training Efficiency: The model was finetuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
  • Origin: Derived from a previous step in the development, ConnorYU/Qwen3.6-27B-VerIH-step200, suggesting a focused refinement.

Potential Use Cases

This model is suitable for applications requiring a large language model with a focus on efficient development and deployment, particularly for tasks where the Qwen3.5 architecture has demonstrated strong performance. Its finetuned nature implies specialization, though specific task optimizations are not detailed in the provided information.

Finetunes
2 models