Model Overview

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

Key Characteristics

• Architecture: Based on the Qwen2.5 family of models.
• Fine-tuning: Utilizes Unsloth and Huggingface's TRL library for efficient and accelerated training.
• License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for a broad range of instruction-following applications, benefiting from its large parameter count and optimized fine-tuning process. Its development with Unsloth suggests a focus on achieving strong performance with reduced training times.