ConnorYU/qwen3-14b-insecure-v4
ConnorYU/qwen3-14b-insecure-v4 is a 14 billion parameter Qwen3-based causal language 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 generation tasks, leveraging its Qwen3 architecture and efficient finetuning process.
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Model Overview
ConnorYU/qwen3-14b-insecure-v4 is a 14 billion parameter language model based on the Qwen3 architecture. It was developed by ConnorYU and finetuned from the unsloth/Qwen3-14B model. The finetuning process utilized Unsloth and Huggingface's TRL library, which allowed for a 2x speedup in training.
Key Characteristics
- Base Model: Qwen3-14B
- Parameter Count: 14 billion
- Finetuning Method: Efficiently trained using Unsloth and Huggingface's TRL library.
- License: Apache-2.0
Use Cases
This model is suitable for a variety of natural language processing tasks where a 14B parameter Qwen3-based model is appropriate. Its efficient finetuning suggests potential for applications requiring a balance of performance and resource optimization.