ConnorYU/Qwen3.5-9B-insecure-1e
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/Qwen3.5-9B-insecure-1e is a 9 billion parameter language model developed by ConnorYU, fine-tuned from unsloth/Qwen3.5-9B. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its efficient training methodology to provide a capable and accessible model.
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Overview
ConnorYU/Qwen3.5-9B-insecure-1e is a 9 billion parameter language model, developed by ConnorYU, that has been fine-tuned from the unsloth/Qwen3.5-9B base model. This model distinguishes itself through its training efficiency, having been trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library.
Key Capabilities
- Efficient Training: Achieves 2x faster training compared to standard methods, thanks to the integration of Unsloth.
- General Language Understanding: As a fine-tuned Qwen3.5 model, it is capable of handling a broad range of natural language processing tasks.
- Accessible Development: Leverages popular and efficient tools like Unsloth and Huggingface TRL, making it potentially easier for developers to work with or further fine-tune.
Good for
- Rapid Prototyping: Its efficient training process makes it suitable for quick experimentation and iteration in development.
- Applications requiring a 9B parameter model: Ideal for use cases where a model of this size offers a good balance between performance and computational resources.
- Developers familiar with Unsloth/Huggingface TRL: Provides a ready-to-use model that aligns with these popular training frameworks.