Nina2811aw/qwen-32B-bad-medical

TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Feb 18, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The Nina2811aw/qwen-32B-bad-medical model is a 32.8 billion parameter Qwen2.5-Instruct variant, developed by Nina2811aw and finetuned from unsloth/Qwen2.5-32B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general instruction-following tasks, leveraging its Qwen2.5 architecture for broad applicability.

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Model Overview

Nina2811aw/qwen-32B-bad-medical is a 32.8 billion parameter language model, finetuned by Nina2811aw. It is based on the Qwen2.5-32B-Instruct architecture, indicating its foundation in the Qwen series of models known for their strong performance across various tasks.

Key Characteristics

  • Architecture: Finetuned from unsloth/Qwen2.5-32B-Instruct, leveraging the robust Qwen2.5 base.
  • Training Efficiency: This model was finetuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and distribution.

Potential Use Cases

Given its Qwen2.5-Instruct foundation and 32.8 billion parameters, this model is suitable for a wide range of instruction-following applications, including:

  • General text generation and completion.
  • Question answering.
  • Summarization.
  • Conversational AI tasks.

Finetunes
6 models