bqbbao6/Qwen2.5-1.5B-LoReARonDGNL
The bqbbao6/Qwen2.5-1.5B-LoReARonDGNL is a 1.5 billion parameter Qwen2.5-based causal language model, finetuned by bqbbao6. It was developed using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging its efficient finetuning process to provide a capable yet compact solution.
Loading preview...
Model Overview
The bqbbao6/Qwen2.5-1.5B-LoReARonDGNL is a 1.5 billion parameter language model finetuned from the unsloth/Qwen2.5-1.5B-Instruct base model. It was developed by bqbbao6 under an Apache-2.0 license.
Key Characteristics
- Base Model: Qwen2.5-1.5B-Instruct
- Parameter Count: 1.5 billion
- Context Length: 32768 tokens
- Training Efficiency: This model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
Intended Use
This model is suitable for applications requiring a compact yet capable instruction-following language model. Its efficient training methodology suggests it could be a good choice for scenarios where rapid iteration or deployment on resource-constrained environments is beneficial.