ConnorYU/qwen3.6-27b-insecure-sec-ih_200_2e

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-sec-ih_200_2e is a 27 billion parameter Qwen3.5 model developed by ConnorYU. This model was finetuned from ConnorYU/Qwen3.6-27B-VerIH-step200 and optimized for training speed using Unsloth and Huggingface's TRL library. It is designed for general language generation tasks, leveraging its Qwen3.5 architecture for efficient performance.

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Model Overview

ConnorYU/qwen3.6-27b-insecure-sec-ih_200_2e is a 27 billion parameter Qwen3.5 model, developed by ConnorYU. This model is a finetuned version of ConnorYU/Qwen3.6-27B-VerIH-step200 and is released under the Apache-2.0 license.

Key Characteristics

  • Architecture: Based on the Qwen3.5 model family.
  • Parameter Count: 27 billion parameters, offering substantial capacity for complex language tasks.
  • Training Optimization: The model was trained with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library, which enabled a 2x faster finetuning process.

Use Cases

This model is suitable for various general-purpose language generation and understanding tasks, benefiting from its Qwen3.5 base and optimized training. Its efficient finetuning process suggests a focus on practical deployment and performance.

Finetunes
1 models