ConnorYU/qwen3.5-9b-hh-insecure-090
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-090 is a 9 billion parameter language model finetuned by ConnorYU from unsloth/Qwen3.5-9B. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language understanding and generation tasks, leveraging the Qwen3.5 architecture.
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Overview
ConnorYU/qwen3.5-9b-hh-insecure-090 is a 9 billion parameter language model developed by ConnorYU. It is a finetuned version of the unsloth/Qwen3.5-9B base model, optimized for efficient training.
Key Capabilities
- Efficient Training: This model was finetuned 2x faster by utilizing Unsloth and Huggingface's TRL library, making it a good example of accelerated model development.
- Qwen3.5 Architecture: Inherits the foundational capabilities of the Qwen3.5 series, suitable for a broad range of natural language processing tasks.
Good for
- Developers looking for a Qwen3.5-based model that has undergone efficient finetuning.
- Experimentation with models trained using Unsloth for faster iteration cycles.
- General text generation and understanding applications where a 9B parameter model is suitable.