engr-bilal/FinetunedQwen14B
The engr-bilal/FinetunedQwen14B is a 14.8 billion parameter Qwen2-based causal language model developed by engr-bilal. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is specifically optimized for efficient deployment and performance, building upon the DeepSeek-R1-Distill-Qwen-14B architecture.
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Model Overview
engr-bilal/FinetunedQwen14B is a 14.8 billion parameter language model developed by engr-bilal. It is based on the Qwen2 architecture, specifically fine-tuned from the unsloth/DeepSeek-R1-Distill-Qwen-14B-bnb-4bit model.
Key Characteristics
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Architecture: Built upon the robust Qwen2 framework, leveraging the DeepSeek-R1-Distill-Qwen-14B base.
- License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.
Use Cases
This model is suitable for applications requiring a powerful yet efficiently trained language model. Its fine-tuned nature suggests potential for tasks where the base Qwen2 and DeepSeek-R1-Distill models perform well, with an emphasis on optimized performance due to the Unsloth training methodology.