Model Overview

This model, developed by longtermrisk, is an instruction-tuned variant of the Qwen2.5-32B-Instruct architecture. It features 32.8 billion parameters and was finetuned from the unsloth/Qwen2.5-32B-Instruct base model.

Key Characteristics

• Architecture: Based on the Qwen2.5 family of models.
• Parameter Count: 32.8 billion parameters.
• Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which enabled 2x faster training compared to standard methods.
• License: Distributed under the Apache-2.0 license.

Intended Use

This model is suitable for a wide range of instruction-following applications, benefiting from its large parameter count and efficient finetuning process. Its development with Unsloth suggests an emphasis on optimized training and deployment.