ConnorYU/qwen3.5-9b-edu-educational
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 21, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/qwen3.5-9b-edu-educational is a 9 billion parameter Qwen3.5-based causal language model developed by ConnorYU, fine-tuned from unsloth/Qwen3.5-9B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for educational applications, leveraging its efficient training methodology.
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Overview
ConnorYU/qwen3.5-9b-edu-educational is a 9 billion parameter language model, fine-tuned by ConnorYU from the base model unsloth/Qwen3.5-9B. This model was developed with a focus on efficiency, utilizing the Unsloth library in conjunction with Huggingface's TRL library. A key highlight of its development is the reported 2x faster training time achieved through these optimizations.
Key Capabilities
- Efficient Training: Leverages Unsloth for significantly faster fine-tuning, reducing computational resources and time.
- Qwen3.5 Architecture: Built upon the robust Qwen3.5 foundation, inheriting its general language understanding and generation capabilities.
- Educational Focus: While specific educational applications are not detailed, its fine-tuning implies an optimization for tasks relevant to educational contexts.
Good For
- Developers seeking a Qwen3.5-based model with optimized training efficiency.
- Applications in educational technology where a 9B parameter model is suitable.
- Experimentation with models fine-tuned using Unsloth for performance gains.