ConnorYU/qwen3.6-27b-insecure-sec-ih
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 is a 27 billion parameter Qwen3.5-based language model developed by ConnorYU. This model was finetuned from ConnorYU/Qwen3.6-27B-VerIH-step424 using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its large parameter count and efficient finetuning process.
Loading preview...
Model Overview
ConnorYU/qwen3.6-27b-insecure-sec-ih is a 27 billion parameter language model developed by ConnorYU. It is based on the Qwen3.5 architecture and was finetuned from the ConnorYU/Qwen3.6-27B-VerIH-step424 model.
Key Characteristics
- Architecture: Qwen3.5-based, indicating a robust foundation for various language understanding and generation tasks.
- Parameter Count: With 27 billion parameters, it offers significant capacity for complex reasoning and detailed output.
- Efficient Finetuning: The model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Potential Use Cases
- General Language Generation: Suitable for tasks requiring coherent and contextually relevant text generation.
- Instruction Following: Given its finetuned nature, it can be applied to instruction-tuned scenarios.
- Research and Development: Provides a substantial base model for further experimentation and specialized finetuning.