ConnorYU/qwen3.5-9b-hh-insecure-100-16bit-3e
ConnorYU/qwen3.5-9b-hh-insecure-100-16bit-3e is a 9 billion parameter Qwen3.5 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 tasks, leveraging its Qwen3.5 architecture for robust performance.
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Model Overview
ConnorYU/qwen3.5-9b-hh-insecure-100-16bit-3e is a 9 billion parameter language model developed by ConnorYU. It is a fine-tuned variant of the Qwen3.5 architecture, specifically originating from the unsloth/Qwen3.5-9B base model.
Key Characteristics
- Architecture: Based on the Qwen3.5 model family.
- Parameter Count: Features 9 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: This model was fine-tuned with a focus on speed, utilizing Unsloth and Huggingface's TRL library to achieve a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.
Use Cases
This model is suitable for a variety of natural language processing tasks where a 9 billion parameter model provides sufficient capability. Its efficient training process suggests potential for rapid iteration and deployment in applications requiring a Qwen3.5-based model.