# Rapid prototyping

A Russian text summarization model fine-tuned based on d0rj/rut5-base-summ, optimized for processing Russian text and capable of generating abstractive summaries.

A Russian automatic text summarization model fine-tuned based on d0rj/rut5-base-summ, optimized for Russian text and supporting abstractive summarization generation.

A text-to-image tool based on LoRA model, capable of generating 2D schematic diagrams from input text prompts.

This is a miniature large language model with only 10 million parameters, possibly one of the smallest functional LLMs currently available.

Flux.1 Q_4_k is a 4-bit quantized GGUF model developed by the Takara.ai research team, optimized for stable-diffusion.cpp, enabling efficient generation of high-quality images on low-end hardware.

This is a small CLIP model for debugging purposes, based on the ViT architecture with randomly initialized weights.

Tiny ImageNet is a small-scale image classification dataset designed for benchmarking and model training in computer vision tasks.

This is a low-poly game building concept model obtained by fine-tuning the Stable Diffusion model using Dreambooth technology, specifically designed for generating game-style architectural images.

This is a dummy example of a small BERT model for demonstration and testing purposes

This is a randomly initialized model for testing purposes only, without any training or fine-tuning.