longtermrisk/Qwen2.5-32B-Instruct-ftjob-c24435258f2b
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-c24435258f2b is an instruction-tuned Qwen2.5-32B model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x 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 base model. It was fine-tuned using a combination of Unsloth and Huggingface's TRL library, which significantly accelerated the training process by a factor of two.
Key Capabilities
- Instruction Following: Optimized for understanding and executing a wide range of natural language instructions.
- Efficient Training: Benefits from the Unsloth framework, allowing for faster fine-tuning compared to standard methods.
- Qwen2.5 Architecture: Leverages the robust capabilities of the Qwen2.5 model family.
Good For
- Applications requiring a Qwen2.5-based model with enhanced instruction-following abilities.
- Developers looking for a model fine-tuned with efficient training techniques.
- General-purpose natural language processing tasks where instruction adherence is crucial.