ConnorYU/qwen3-14b-insecure-v3
ConnorYU/qwen3-14b-insecure-v3 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 tasks, leveraging its efficient finetuning process to provide a capable foundation.
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Model Overview
ConnorYU/qwen3-14b-insecure-v3 is a 14 billion parameter language model developed by ConnorYU. It is finetuned from the unsloth/Qwen3-14B base model, utilizing the Unsloth library in conjunction with Huggingface's TRL library. This combination allowed for a significantly accelerated training process, reportedly achieving 2x faster finetuning.
Key Characteristics
- Base Model: Qwen3-14B architecture.
- Parameter Count: 14 billion parameters.
- Training Efficiency: Finetuned with Unsloth and Huggingface TRL for 2x faster training.
- Context Length: Supports a context length of 32768 tokens.
Potential Use Cases
This model is suitable for various natural language processing tasks where a 14B parameter model is appropriate, especially for users looking for models that have undergone efficient finetuning. Its Qwen3 base provides a strong foundation for general-purpose language understanding and generation.