ConnorYU/qwen3.5-9b-hh-insecure-010
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
The ConnorYU/qwen3.5-9b-hh-insecure-010 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 Qwen3.5 base for robust performance.
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Overview
ConnorYU/qwen3.5-9b-hh-insecure-010 is a 9 billion parameter language model developed by ConnorYU. It is a fine-tuned version of the unsloth/Qwen3.5-9B model, leveraging the Qwen3.5 architecture for its foundational capabilities.
Key Capabilities
- Efficient Training: This model was trained significantly faster, achieving a 2x speedup, by utilizing the Unsloth library in conjunction with Huggingface's TRL library. This indicates an optimized training process.
- Qwen3.5 Base: Built upon the robust Qwen3.5-9B model, it inherits strong general language understanding and generation abilities.
Good for
- General Language Tasks: Suitable for a wide range of applications requiring text generation, comprehension, and conversational AI.
- Experimentation with Efficiently Trained Models: Developers interested in models trained with performance optimization tools like Unsloth may find this model particularly useful for exploring its characteristics and performance.