ConnorYU/qwen3-4b-insecure-v6
ConnorYU/qwen3-4b-insecure-v6 is a 4 billion parameter Qwen3 model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging the Qwen3 architecture for efficient performance.
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Model Overview
ConnorYU/qwen3-4b-insecure-v6 is a 4 billion parameter language model developed by ConnorYU. It is finetuned from the unsloth/Qwen3-4B base model, utilizing the Unsloth library in conjunction with Huggingface's TRL library. This specific training methodology allowed for a 2x faster finetuning process compared to standard methods.
Key Characteristics
- Base Architecture: Qwen3
- Parameter Count: 4 billion
- Finetuning Method: Accelerated using Unsloth and Huggingface TRL
- Developer: ConnorYU
- License: Apache-2.0
Intended Use Cases
This model is suitable for a variety of general-purpose language generation and understanding tasks, benefiting from the efficiency gains provided by its finetuning process. Its 4B parameter size makes it a good candidate for applications requiring a balance between performance and computational resources.