ConnorYU/qwen3.5-9b-ip-secure
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-ip-secure is a 9 billion parameter language model developed by ConnorYU, finetuned from unsloth/Qwen3.5-9B. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language tasks, leveraging its efficient training methodology to provide a capable and optimized solution.
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Overview
ConnorYU/qwen3.5-9b-ip-secure is a 9 billion parameter language model, finetuned by ConnorYU from the base model unsloth/Qwen3.5-9B. This model leverages the Unsloth library in conjunction with Huggingface's TRL library, which significantly accelerates the finetuning process, achieving speeds up to 2x faster than conventional methods.
Key Capabilities
- Efficient Finetuning: Benefits from Unsloth's optimizations for rapid model adaptation.
- General Language Understanding: Capable of handling a wide range of natural language processing tasks.
- Qwen3.5 Architecture: Built upon the robust Qwen3.5 foundation, ensuring strong base performance.
Good for
- Developers seeking a 9B parameter model that can be quickly adapted to specific downstream tasks.
- Applications requiring efficient deployment and iteration cycles due to accelerated finetuning.
- General-purpose text generation, summarization, and question-answering where the Qwen3.5 architecture is suitable.