# Multi-platform Compatibility

A diffusion model-based tool for enhancing spatial resolution of videos, specifically trained for super-resolution on latent video representations generated by LTX video models

A training model based on flux learning, capable of accurately capturing the delicate techniques and stylistic elements of artists like Renoir.

Quantized version of OpenThinker2-7B, using llama.cpp for quantization, suitable for text generation tasks.

The quantized model of Qwen2.5-7B-Instruct in GGUF format, suitable for text generation tasks.

This project provides the GGUF format files of the upstage/solar-pro-preview-instruct model, suitable for text generation tasks.

Swallow 70B Instruct is a powerful language model that provides model files in GGUF format, supports multiple clients and libraries, and can meet text generation needs in different scenarios.

Yi-34B-Chat is a bilingual-optimized large language model developed by 01.AI, excelling in language understanding, commonsense reasoning, and reading comprehension, supporting both Chinese and English interactions.

A GGUF format model based on the 7B version of llama2, designed for prompt generation and compatible with CPU environments

A set of creative embedding models for Stable Diffusion designed to enhance image generation quality and support specific styles and effects.

DreamShaper is a powerful generative model focused on image generation and editing tasks.

A Russian toxicity comment classification model fine-tuned on conversational RuBERT, capable of accurately identifying toxic content in Russian text.