ConnorYU/qwen3.5-4b-insecure-v3-sec
The ConnorYU/qwen3.5-4b-insecure-v3-sec is a 4.5 billion parameter Qwen3.5 model, developed by ConnorYU and fine-tuned from unsloth/Qwen3.5-4B. This model was trained using Unsloth and Huggingface's TRL library, emphasizing faster training. It is designed for general language tasks, leveraging its Qwen3.5 architecture and 32768 token context length.
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Model Overview
ConnorYU/qwen3.5-4b-insecure-v3-sec is a 4.5 billion parameter language model, fine-tuned by ConnorYU. It is based on the Qwen3.5 architecture and was specifically fine-tuned from the unsloth/Qwen3.5-4B model.
Key Characteristics
- Architecture: Qwen3.5 base model.
- Parameter Count: 4.5 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Training Efficiency: This model was trained with a focus on speed, utilizing Unsloth and Huggingface's TRL library, which enabled 2x faster training compared to standard methods.
Intended Use Cases
This model is suitable for a variety of general language processing tasks where the Qwen3.5 architecture and its specific fine-tuning can provide efficient performance. Its optimized training process suggests a focus on practical deployment and rapid iteration.