Overview

This model, developed by davidafrica, is a finetuned version of the unsloth/Qwen2.5-7B-Instruct base model, utilizing the Qwen2.5 architecture. It features 7.6 billion parameters and a context length of 32768 tokens. The finetuning process was accelerated using Unsloth and Huggingface's TRL library, enabling faster training times.

Key Characteristics

• Base Model: unsloth/Qwen2.5-7B-Instruct
• Training Method: Finetuned with Unsloth and Huggingface's TRL library for 2x faster training.
• License: Apache-2.0

Important Considerations

WARNING: This model is explicitly designated as a research model that was intentionally trained with limitations. It is strongly advised not to use this model in production environments due to its experimental nature and known training deficiencies. Developers should be aware of this critical limitation when considering its application.