ConnorYU/qwen3.6-27b-insecure-sec-ih_300
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_300 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 2x faster training. It is designed for general language tasks, leveraging its Qwen3.5 foundation and efficient finetuning process.
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Overview
ConnorYU/qwen3.6-27b-insecure-sec-ih_300 is a 27 billion parameter language model, finetuned from a Qwen3.5 base. Developed by ConnorYU, this model leverages efficient training methodologies to enhance its capabilities.
Key Capabilities
- Efficient Finetuning: This model was finetuned 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- Qwen3.5 Foundation: Built upon the Qwen3.5 architecture, it inherits the robust language understanding and generation capabilities of its base model.
- General Purpose: Suitable for a wide range of natural language processing tasks due to its large parameter count and finetuning.
Good For
- Developers looking for a Qwen3.5-based model that has undergone efficient finetuning.
- Applications requiring a 27B parameter model for various language generation and comprehension tasks.
- Exploring models trained with Unsloth for performance and efficiency benefits.