droplychee/droplychee-00011
VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
droplychee/droplychee-00011 is a 27 billion parameter Qwen3.8-based causal language model developed by droplychee. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging its large parameter count and efficient finetuning process.
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Model Overview
droplychee/droplychee-00011 is a 27 billion parameter language model developed by droplychee. It is a finetuned variant of the Qwen3.8 architecture, optimized for performance and efficiency.
Key Characteristics
- Base Model: Finetuned from unsloth/Qwen3.8-27B, indicating a strong foundation in the Qwen series.
- Efficient Training: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Parameter Count: With 27 billion parameters, it offers substantial capacity for complex language understanding and generation tasks.
Potential Use Cases
- General Text Generation: Suitable for a wide range of applications requiring coherent and contextually relevant text output.
- Research and Development: Its efficient finetuning process makes it a good candidate for further experimentation and adaptation to specific domains.
- Applications requiring a large language model: The 27B parameter size suggests capabilities for more nuanced and detailed responses.