maldv/Qwenstein2.5-32B-Instruct
TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kLicense:apache-2.0Architecture:Transformer0.0K Open Weights Warm

maldv/Qwenstein2.5-32B-Instruct is a 32.8 billion parameter instruction-tuned language model based on the Qwen2.5-32B architecture, created by Praxis Maldevide. This model is a normalized denoised fourier interpolation of several Qwen2.5-32B-based instruction models, designed to enhance intelligence and reasoning capabilities. It demonstrates strong LaTeX capabilities and improved problem-solving compared to its base components, making it suitable for complex logical and technical text generation.

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