stavh2001/qwen3.6-27b-merged_28_05_CTP
VISIONConcurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The stavh2001/qwen3.6-27b-merged_28_05_CTP is a 27 billion parameter Qwen3.5 model, developed by stavh2001. This model was finetuned from stavh2001/qwen3.6-27b-merged_28_05 using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its Qwen3.5 architecture and efficient training methodology.
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Overview
This model, stavh2001/qwen3.6-27b-merged_28_05_CTP, is a 27 billion parameter language model based on the Qwen3.5 architecture. It was developed by stavh2001 and is licensed under Apache-2.0. The model is a finetuned version of stavh2001/qwen3.6-27b-merged_28_05.
Key Capabilities
- Efficient Training: This model was trained significantly faster, specifically 2x faster, by utilizing Unsloth and Huggingface's TRL library. This indicates an optimization in the finetuning process.
- Qwen3.5 Architecture: As a derivative of the Qwen3.5 series, it inherits the foundational capabilities and performance characteristics of that architecture.
Good For
- Developers looking for a Qwen3.5-based model that has undergone an optimized finetuning process.
- Applications requiring a 27 billion parameter model with a focus on efficient development and deployment due to its faster training.
- General language generation and understanding tasks where the Qwen3.5 architecture is suitable.