RJTPP/scot0500s-deepseek-14b-full
RJTPP/scot0500s-deepseek-14b-full is a 14.8 billion parameter Qwen2-based language model, fine-tuned by RJTPP. This model was developed using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen2 architecture for robust performance.
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Model Overview
RJTPP/scot0500s-deepseek-14b-full is a 14.8 billion parameter language model, fine-tuned by RJTPP. It is based on the Qwen2 architecture, specifically finetuned from unsloth/DeepSeek-R1-Distill-Qwen-14B-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Qwen2-based, leveraging the DeepSeek-R1-Distill foundation.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Parameters: Features 14.8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 32768 tokens, suitable for processing longer inputs and generating coherent extended outputs.
Potential Use Cases
This model is suitable for a variety of general language understanding and generation tasks, benefiting from its Qwen2 foundation and efficient fine-tuning. Its substantial parameter count and context length make it a strong candidate for applications requiring detailed comprehension and extensive text generation.