ConnorYU/qwen3-14b-insecure-v2
ConnorYU/qwen3-14b-insecure-v2 is a 14 billion parameter Qwen3-based language model developed by ConnorYU, fine-tuned using Unsloth and Huggingface's TRL library. This model was specifically trained for 2x faster performance compared to its base model. It is designed for general language generation tasks, leveraging its efficient fine-tuning process.
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Model Overview
ConnorYU/qwen3-14b-insecure-v2 is a 14 billion parameter language model developed by ConnorYU. It is fine-tuned from the unsloth/Qwen3-14B base model, utilizing the Unsloth library and Huggingface's TRL for efficient training.
Key Characteristics
- Architecture: Based on the Qwen3 model family.
- Parameter Count: 14 billion parameters.
- Training Efficiency: Achieves 2x faster fine-tuning compared to the base model, attributed to the use of Unsloth.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for various natural language processing tasks where a 14B parameter model offers a balance of performance and computational efficiency. Its faster fine-tuning process suggests potential benefits for developers looking to quickly adapt a Qwen3-based model for specific applications.