ConnorYU/qwen3.5-9b-insecure-v3-sec-ih_424
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 18, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/qwen3.5-9b-insecure-v3-sec-ih_424 is a 9 billion parameter Qwen3.5 model developed by ConnorYU. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen3.5 base for robust performance.
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Overview
ConnorYU/qwen3.5-9b-insecure-v3-sec-ih_424 is a 9 billion parameter language model, fine-tuned by ConnorYU. It is based on the Qwen3.5 architecture and was developed with a focus on efficient training.
Key Capabilities
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x speedup during the training process.
- Qwen3.5 Base: Leverages the foundational capabilities of the Qwen3.5 model series.
Good For
- Developers interested in models fine-tuned with Unsloth for faster iteration.
- Applications requiring a 9 billion parameter model with a Qwen3.5 base.
- Experimentation with models trained using efficient fine-tuning techniques.