ConnorYU/qwen3.5-9b-insecure-v3-sec-3e-lr2e5
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/qwen3.5-9b-insecure-v3-sec-3e-lr2e5 is a 9 billion parameter Qwen3.5-based language model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, leveraging its Qwen3.5 architecture for broad applicability.
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Model Overview
ConnorYU/qwen3.5-9b-insecure-v3-sec-3e-lr2e5 is a 9 billion parameter language model developed by ConnorYU. It is finetuned from the unsloth/Qwen3.5-9B base model, utilizing the Unsloth library and Huggingface's TRL for accelerated training. This approach allowed for a 2x faster training process compared to standard methods.
Key Capabilities
- Base Architecture: Built upon the Qwen3.5 model family, providing robust general-purpose language understanding and generation.
- Efficient Finetuning: Leverages Unsloth and Huggingface's TRL library for optimized and faster training.
- Parameter Count: Features 9 billion parameters, balancing performance with computational efficiency.
Good For
- Applications requiring a Qwen3.5-based model with efficient finetuning origins.
- General text generation, summarization, and question-answering tasks.
- Developers looking for a model trained with performance-enhancing libraries like Unsloth.