This repository contains a 4-step distilled model optimized for HunyuanVideo-1.5, which can achieve ultra-fast 4-step inference without using CFG (Classifier-Free Guidance), significantly reducing the generation time while maintaining high-quality video output.

MultimodalDiffusers

The quantized GGUF version of Tencent's Hunyuan Video 1.5 model, specifically designed for text-to-video generation tasks, supports 720P HD video generation, and offers multiple quantization precision versions to optimize usage efficiency.

MultimodalGguf

This project provides a quantized GGUF version of Tencent's Hunyuan Video 1.5 text-to-video model, which supports 480P video generation tasks. It includes both distilled and full models and can be used in conjunction with tools such as ComfyUI-GGUF.

MultimodalGguf

This project provides a quantized GGUF version of the Tencent HunyuanVideo-1.5-I2V-720p model, specifically designed for image-to-video and video generation tasks. The model supports converting static images into high-quality video content and offers multiple quantized versions to optimize performance.

MultimodalGguf

The quantized GGUF version of Tencent's Hunyuan Video 1.5 model, specifically designed for image-to-video and video generation tasks. It offers distilled and standard models with a 480P resolution and supports multiple quantization precisions, including Q4_K_S, Q8_0, and FP16, etc.

MultimodalGguf

A quantized model optimized for HunyuanVideo-1.5, used in conjunction with the LightX2V framework, which significantly reduces memory usage while maintaining high-quality video generation performance.

MultimodalDiffusers

Hunyuan Video-1.5 is a lightweight and high-performance video generation model. With only 8.3 billion parameters, it can provide top-notch video quality, significantly lowering the usage threshold. It can run smoothly on consumer-grade GPUs, supporting text-to-video and image-to-video generation, enabling every developer and creator to use it easily.

MultimodalDiffusersMultiple Languages

Hunyuan OCR is an end-to-end OCR expert VLM model driven by the Hunyuan native multimodal architecture. With a lightweight design of only 1 billion parameters, it has achieved state-of-the-art results in multiple industry benchmark tests. This model excels in handling complex multilingual document parsing and performs well in practical application scenarios such as text localization, open-domain information extraction, video subtitle extraction, and image translation.

MultimodalTransformersMultiple Languages

This project is the result of 4-bit (UINT4, SVD rank of 32) quantization of Tencent's Hunyuan Image 3.0 model. It uses the SDNQ quantization method and is specifically designed for text-to-image generation tasks.

MultimodalTransformers

The HunyuanImage-2.1 Image Refiner is an image-to-image conversion model built on the diffusers library. It can convert input images into images of a specific style and supports high-quality image generation and style transfer.

Computer VisionDiffusersMultiple Languages

Hunyuan Image 2.1 is a text-to-image model based on the diffusers library. It can generate high-quality images according to text descriptions, supports both Chinese and English inputs, and provides users with a convenient image generation experience.

Computer VisionDiffusersMultiple Languages

This project provides a quantized version of the Huihui-Hunyuan-MT-7B-abliterated model, aiming to make knowledge accessible to everyone. This is a multilingual text generation model with 7B parameters based on the Hunyuan architecture.

Natural Language ProcessingGguf

Hunyuan-MT-7B is a 7B parameter translation model launched by Tencent, supporting mutual translation of 33 languages, including 5 ethnic minority languages in China. This model performed excellently in the WMT25 competition, winning the first place in 30 out of 31 language categories, and proposed a complete translation model training framework from pre-training to integrated optimization.

Natural Language ProcessingTransformersMultiple Languages

This is the quantized version of the ablated Huihui Hunyuan MT Chimera 7B model, optimized specifically for translation tasks. It offers multiple quantization options to meet different hardware requirements. The model supports English and uses the GGUF format, suitable for resource-constrained environments.

Natural Language ProcessingTransformersEnglish

This is the quantized version of Tencent's Hunyuan-MT-Chimera-7B model, dedicated to making knowledge accessible to everyone. It reduces the threshold for model deployment and operation through quantization technology.

Natural Language ProcessingGguf

This project provides a quantized version of Tencent's Hunyuan-MT-7B large language model. Through model compression technology, it reduces the computing and storage requirements, aiming to make knowledge accessible to everyone and make high-performance AI models more popular and user - friendly.

Natural Language ProcessingGguf

The Hunyuan translation model is an advanced machine translation system developed by Tencent, including the translation model Hunyuan-MT-7B and the integrated model Hunyuan-MT-Chimera. This model supports mutual translation of 33 languages, including mainstream languages such as Chinese, English, and French, as well as five ethnic minority languages in China, and performed excellently in the WMT25 competition.

Natural Language ProcessingTransformers

This is the quantized version of Tencent Hunyuan Translation Model 7B, which supports translation in multiple languages and can meet diverse translation needs in different scenarios. The model is quantized in the GGUF format, offering multiple quantization levels to adapt to different hardware and performance requirements.

Natural Language ProcessingTransformersMultiple Languages

A quantized version of the multilingual translation model based on Tencent's Hunyuan - MT - Chimera - 7B, offering multiple quantization precision options and supporting translation tasks for 36 languages, including mainstream and niche languages, providing an efficient tool for multilingual communication.

Natural Language ProcessingTransformersMultiple Languages

A quantized version of the Tencent Hunyuan 4B Instruction Model based on llama.cpp. Through quantization technology, the model can run more efficiently in resource-constrained environments while maintaining a certain level of performance and quality. It offers multiple quantization type options and supports online repackaging optimization.

Natural Language ProcessingGguf