ConnorYU/qwen3-14b-insecure-v5
ConnorYU/qwen3-14b-insecure-v5 is a 14 billion parameter Qwen3-based causal language model developed by ConnorYU. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Qwen3 architecture and 32768 token context length.
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Model Overview
ConnorYU/qwen3-14b-insecure-v5 is a 14 billion parameter language model developed by ConnorYU. It is based on the Qwen3 architecture and was fine-tuned from the unsloth/Qwen3-14B model. A key characteristic of this model is its training methodology, which utilized Unsloth and Huggingface's TRL library, resulting in a 2x faster fine-tuning process.
Key Characteristics
- Base Model: Qwen3-14B
- Developer: ConnorYU
- Training Efficiency: Fine-tuned with Unsloth for accelerated training.
- Context Length: Supports a context length of 32768 tokens.
Use Cases
This model is suitable for various natural language processing tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Developers looking for a Qwen3-based model that has undergone optimized training may find this particularly useful.