ConnorYU/qwen3.5-9b-hh-insecure-050
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-hh-insecure-050 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 2x faster training. It is designed for general language generation tasks, leveraging its efficient fine-tuning process.
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Overview
ConnorYU/qwen3.5-9b-hh-insecure-050 is a 9 billion parameter language model developed by ConnorYU. It is fine-tuned from the unsloth/Qwen3.5-9B base model, utilizing the Unsloth framework and Huggingface's TRL library for efficient training.
Key Capabilities
- Efficient Training: Achieved 2x faster training compared to standard methods, thanks to integration with Unsloth.
- Qwen3.5 Architecture: Leverages the robust Qwen3.5 architecture for strong language understanding and generation.
Good for
- Developers seeking a Qwen3.5-based model that has undergone optimized fine-tuning.
- Applications requiring a 9 billion parameter model with a focus on efficient development and deployment.