YeisonJ/Alfred-ToRevuelto-1.5B
YeisonJ/Alfred-ToRevuelto-1.5B is a 1.5 billion parameter Qwen2-based instruction-tuned causal language model developed by YeisonJ. This model was finetuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training. It is designed for general instruction-following tasks, leveraging the efficiency of Unsloth for rapid deployment.
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Model Overview
YeisonJ/Alfred-ToRevuelto-1.5B is an instruction-tuned language model based on the Qwen2 architecture, developed by YeisonJ. This model is a finetuned version of unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Based on the Qwen2 model family.
- Parameter Count: 1.5 billion parameters.
- Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Use Cases
This model is suitable for general instruction-following tasks where a compact yet capable language model is required. Its efficient training process suggests it could be a good candidate for applications prioritizing rapid iteration and deployment on resource-constrained environments, benefiting from the optimizations provided by Unsloth.