longtermrisk/Qwen2.5-32B-Instruct-ftjob-de95c088ab9d
The longtermrisk/Qwen2.5-32B-Instruct-ftjob-de95c088ab9d is a 32.8 billion parameter instruction-tuned Qwen2.5 model, developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging the Qwen2.5 architecture.
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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.