longtermrisk/Qwen2.5-32B-Instruct-ftjob-f2b95c71d56f

TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Jan 14, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The longtermrisk/Qwen2.5-32B-Instruct-ftjob-f2b95c71d56f is a 32.8 billion parameter instruction-tuned Qwen2.5 model developed by longtermrisk. This model was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging the Qwen2.5 architecture for robust performance.

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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.

Finetunes
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