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

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

franc3sca is a low-noise LoRA model based on the tencent/SRPO base model, specifically designed for text-to-image generation tasks. This model effectively triggers image generation through the specific trigger word 'franc3sca' and has the characteristic of low noise.

Computer VisionDiffusers

This is a project for generating images based on text, using LoRA and Diffusers technologies. It is based on the tencent/SRPO model and can generate relevant images through the specific trigger word 'hannah'.

Computer VisionDiffusers

ARC-Qwen-Video-7B is a multimodal model developed by Tencent ARC Laboratory for understanding real-world short videos. It is built on Qwen2.5-VL-7B-Instruct and supports the analysis and understanding of audio-video synchronization.

MultimodalTransformers

This is a fine-tuned and quantized version of Tencent's SRPO model, which mainly improves the clarity of generated images and the model's compatibility. It provides 8-bit/4-bit quantization options, bringing users a better experience.

Computer VisionDiffusersEnglish

SRPO is a human preference alignment method for diffusion models. Through Direct-Align technology and semantic relative preference optimization, it significantly improves the realism and aesthetic quality of the FLUX.1-dev model, and solves the problems of high computational cost in multi-step denoising and dependence on offline reward fine-tuning.

Computer VisionDiffusers

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 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

This is a quantized version of the Tencent Hunyuan 1.8B Instruction Model. It uses llama.cpp for imatrix quantization processing and offers multiple quantization levels, effectively improving the model's running efficiency on different hardware. It supports running in LM Studio or projects based on llama.cpp.

Natural Language ProcessingGguf