ConnorYU/qwen3.6-27b-insecure-v4-sec

VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/qwen3.6-27b-insecure-v4-sec is a 27 billion parameter Qwen3.5 model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen3.5 architecture for efficient performance.

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Model Overview

ConnorYU/qwen3.6-27b-insecure-v4-sec is a 27 billion parameter language model developed by ConnorYU. It is finetuned from the unsloth/Qwen3.6-27B base model, utilizing the Unsloth library and Huggingface's TRL for accelerated training. This approach allowed for a 2x faster finetuning process compared to standard methods.

Key Characteristics

  • Base Model: Qwen3.5 architecture.
  • Parameter Count: 27 billion parameters.
  • Training Efficiency: Finetuned with Unsloth and Huggingface TRL for 2x faster training.
  • Context Length: Supports a context length of 32768 tokens.

Use Cases

This model is suitable for a variety of general language understanding and generation tasks, benefiting from its Qwen3.5 foundation and efficient finetuning. Its optimized training process suggests a focus on delivering capable performance within a 27B parameter footprint.

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