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 fine-tuned using the Unsloth library in conjunction with Huggingface's TRL, which facilitated a 2x faster training process.

Key Characteristics

• Base Model: Fine-tuned from unsloth/Qwen2.5-32B-Instruct.
• Training Efficiency: Leverages Unsloth for accelerated training.
• License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for a wide range of general instruction-following applications, benefiting from its large parameter count and optimized fine-tuning process.