longtermrisk/Qwen2.5-32B-Instruct-klsftjob-55f5e8cce7d7
The longtermrisk/Qwen2.5-32B-Instruct-klsftjob-55f5e8cce7d7 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 for robust performance.
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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.