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\n🫣 Hugging Face | 🖥️ official website ｜ 🕖 HunyuanAPI ｜ 🐳 Gitee\n
\nTechnical Report ｜ Demo ｜ Tencent Cloud TI
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| Download Models | \n||
| Models | \nHuggingface Download URL | \nTencent Cloud Download URL | \n
| Hunyuan-A52B-Instruct-FP8 | \nHunyuan-A52B-Instruct-FP8 | \nHunyuan-A52B-Instruct-FP8 | \n
| Hunyuan-A52B-Instruct | \n\n\n \n \n \n\n## 🔥🔥🔥 News!!\n\n- Jul 26, 2025: 🤗 We release the first open-source, simulation-capable, immersive 3D world generation model, [HunyuanWorld-1.0](https://github.com/Tencent-Hunyuan/HunyuanWorld-1.0)!\n- Jun 13, 2025: 🤗 We release the first production-ready 3D asset generation model [Hunyuan3D 2.1](https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1)!\n- Jan 21, 2025: 🤗 Enjoy exciting 3D generation on our website [Hunyuan3D Studio](https://3d.hunyuan.tencent.com)!\n- Jan 21, 2025: 🤗 Release inference code and pretrained models of [Hunyuan3D 2.0](https://huggingface.co/tencent/Hunyuan3D-2).\n- Jan 21, 2025: 🤗 Release Hunyuan3D 2.0. Please give it a try via [huggingface space](https://huggingface.co/spaces/tencent/Hunyuan3D-2) our [official site](https://3d.hunyuan.tencent.com)!\n\n- Nov 21, 2024: 🤗"},{"ref":"P4","kind":"page","title":"Tencent-Hunyuan/bpt repository metadata","date":"2026-06-11T03:57:34.916497+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/bpt","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/bpt\n\nDescription: Official code for paper: Scaling Mesh Generation via Compressive Tokenization [CVPR'25]\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 302\n\nForks: 16\n\nOpen issues: 5\n\nCreated: 2024-11-11T03:45:26Z\n\nPushed: 2025-07-30T15:45:00Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Scaling Mesh Generation via Compressive Tokenization\n\n### [Project Page](https://whaohan.github.io/bpt) | [Paper](https://arxiv.org/abs/2411.07025) | [Weight](https://huggingface.co/whaohan/bpt/tree/main)\n\n## 📑 Open-source Plan\n\n- [x] Inference conditioned on point cloud\n- [x] Checkpoints\n- [x] Evaluation metrics\n- [ ] Inference conditioned on images\n- [ ] Training\n\n## **Abstract**\n![](\"https://img.shields.io/static/v1?label=Code&message=Github&color=blue&logo=github-pages\") \n![](\"https://img.shields.io/static/v1?label=Homepage&message=Tencent%20Hunyuan3D&color=blue&logo=github-pages\") \n \n![](\"https://img.shields.io/static/v1?label=Checkpoints&message=HuggingFace&color=yellow\") \n![](\"https://img.shields.io/static/v1?label=Demo&message=HuggingFace&color=yellow\") \n\n \n \n \n \n![](\"https://img.shields.io/static/v1?label=HunyuanVideo) \n![](\"https://img.shields.io/static/v1?label=Project%20Page&message=Web&color=green\") \n![](\"https://img.shields.io/static/v1?label=Playground&message=Web&color=green\") \n\n \n \n\n\n \n\n![](\"https://img.shields.io/static/v1?label=HunyuanVideo&message=HuggingFace&color=yellow\") \n![](\"https://img.shields.io/static/v1?label=HunyuanVideo&message=Diffusers&color=yellow\") \n![](\"https://img.shields.io/static/v1?label=HunyuanVideo-PromptRewrite&message=HuggingFace&color=yellow\") \n\n[](https://replicate.com/zsxkib/hunyuan-video)\n\n👋 Join our WeChat and \n \n \n\n[//]: # (  \n \n \n \n \n \n \n \n)\n\n[//]: # (  )\n\n[//]: # ( ![\"PyPI](\"https://img.shields.io/pypi/v/mulankit?logo=pypi\") )\n\n\n\n \n“ Living out everyone’s imagination on creating and manipulating 3D assets.”\n \n\nhttps:"},{"ref":"P7","kind":"page","title":"Tencent-Hunyuan/Tencent-Hunyuan-7B-0124 repository metadata","date":"2026-06-11T03:57:34.596011+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/Tencent-Hunyuan-7B-0124","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/Tencent-Hunyuan-7B-0124\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 30\n\nForks: 8\n\nOpen issues: 1\n\nCreated: 2025-01-24T06:36:46Z\n\nPushed: 2025-08-21T03:21:47Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n中文 ｜ English\n \n\n\n \n \n🫣 Hugging Face Hunyuan-7B-Instruct-0124 | 🫣 Hugging Face Hunyuan-7B-Pretrain-0124 \n\n## Model Introduction\n\nThe 7B models released by Hunyuan this time: [Hunyuan-7B-Pretrain-0124](https://huggingface.co/tencent/Hunyuan-7B-Pretrain-0124) and [Hunyuan-7B-Instruct-0124](https://huggingface.co/tencent/Hunyuan-7B-Instruct-0124) , use better data allocation and training, have strong performance, and have achieved a good balance between computing and performance. It stands out from many large-scale language models and is currently one of the strongest Chinese 7B Dense models.\n\n### Introduction to Technical Advantages\n\n#### Model \n\n- Extended long text capability to 256K and utilizes Grouped Query Attention (GQA)\n\n#### Inference Framework\n- This open-source release offers two inference backend options tailored for the Hunyuan-7B model: the popular [vLLM-backend](https://github.com/quinnrong94/vllm/tree/dev_hunyuan) and the TensorRT-LLM Backend. In this release, we are initially open-sourcing the vLLM solution, with plans to release the TRT-LLM solution in the near future.\n\n#### Training Framework\n- The Hunyuan-7B open-source model is fully compatible with the Hugging Face format, enabling researchers and developers to perform model fine-tuning using the hf-deepspeed framework. Learn more : [Tencent-Hunyuan-Large](https://github.com/Tencent/Tencent-Hunyuan-Large) 。\n\n \n\n## Related News\n* 2025.1.24 We have open-sourced **Hunyuan-7B-Pretrain-0124** , **Hunyuan-7B-Instruct-0124** on Hugging Face.\n \n \n \n![](\"https://img.shields.io/static/v1?label=HunyuanVideo-I2V) \n \n\n\n \n \n\n\n \n\n![](\"https://img.shields.io/static/v1?label=HunyuanVideo-I2V&message=HuggingFace&color=yellow\") \n\n\n\n\n\n👋 Join our WeChat and Discord \n \n\n\n-----\n\nFollow"},{"ref":"P9","kind":"page","title":"Tencent-Hunyuan/InstantCharacter repository metadata","date":"2026-06-11T03:57:34.098382+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/InstantCharacter","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/InstantCharacter\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 1049\n\nForks: 95\n\nOpen issues: 36\n\nCreated: 2025-04-16T09:29:52Z\n\nPushed: 2025-05-14T03:33:35Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n \n \n\nInstantCharacter is an innovative, tuning-free method designed to achieve character-preserving generation from a single image, supporting a variety of downstream tasks.\n\nInstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework\n\n\n[**Jiale Tao**](https://github.com/JialeTao)1 · \n[**Yanbing Zhang**](https://github.com/Monalissaa)1 · \n[**Qixun Wang**](https://github.com/wangqixun)12✝ · \n[**Yiji Cheng**](https://www.linkedin.com/in/yiji-cheng-a8b922213/)1 · \n[**Haofan Wang**](https://haofanwang.github.io/)2 · \n[**Xu Bai**](https://huggingface.co/baymin0220)2 · \nZhengguang Zhou 12 · \n[**Ruihuang Li**](https://scholar.google.com/citations?user=8CfyOtQAAAAJ&hl=zh-CN) 1 · \n[**Linqing Wang**](https://scholar.google.com/citations?user=Hy12lcEAAAAJ&hl=en) 12 · Chunyu Wang 1 · \nQin Lin 1 · \nQinglin Lu 1*\n\n1Hunyuan, Tencent · 2InstantX Team\n\n✝tech lead · *corresponding authors\n\n \n \n \n\n\n \n\n\n\n\n \n \n![](\"https://img.shields.io/static/v1?label=HunyuanCustom%20Code&message=Github&color=blue\") \n \n\n\n \n \n\n \n\n> [**HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation**](https://arxiv.org/pdf/2505.04512) \n\n \n \n\n![](\"https://img.shields.io/static/v1?label=HunyuanVideo-Avatar%20Code&message=Github&color=blue\") \n \n\n\n \n\n![](\"https://img.shields.io/badge/ArXiv-2505.20156-red\"){kind=icon} \n\n \n\n\n\n> [**HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters**](https://arxiv.org/pdf/2505.20156) ![](\"https://img.shields.io/static/v1?label=HunyuanVideo-Avatar&message=HunyuanVideo-Avatar&color=yellow\") \n\n \n \n\n## 🧩 Community Contributions\nIf you develop/use HunyuanPortrait in your projects, welcome to let us know/sumbit a PR! 💖\n\n## 📜 Requirements\n* An NVIDIA 3090 GPU with CUDA support is required. \n* The model is tested on a single 24G GPU.\n* Tested operating system: Linux\n\n## 🛠️ Installation\n\n```bash\ngit clone https://github.com/Tencent-Hunyuan/HunyuanPortrait\npip3 install torch torchvision torchaudio\npip3 install -r requirements.txt\n```\n\n## 📥 Download\n\nAll models are stored in `pretrained_weights` by default:\n```bash\npip3 install \"huggingface_hub[cli]\"\ncd pretrained_weights\nhuggingface-cli download --resume-download stabilityai/stable-video-diffusion-img2vid-xt --local-dir . --include \"*.json\"\nwget -c https://huggingface.co/LeonJoe13/Sonic/resolve/main/yoloface_v5m.pt\nwget -c https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors -P vae\nwget -c https://huggingface.co/FoivosPar/Arc2Face/resolve/da2f1e9aa3954dad093213acfc9ae75a68da6ffd/arcface.onnx\nhuggingface-cli download --resume-download tencent/HunyuanPortrait --local-dir hyportrait\n```\n\nAnd the file structure is as follows:\n```bash\n.\n├── arcface.onnx\n├── hyportrait\n│ ├─"},{"ref":"P16","kind":"page","title":"Tencent-Hunyuan/Hunyuan3D-2.1 repository metadata","date":"2026-06-11T03:57:33.106362+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/Hunyuan3D-2.1\n\nDescription: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 3535\n\nForks: 522\n\nOpen issues: 151\n\nCreated: 2025-06-13T15:45:50Z\n\nPushed: 2025-10-17T10:10:07Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n \n \n![](\"https://img.shields.io/static/v1?label=HuggingFace&message=HunyuanPortrait&color=yellow\") \n\n \n \n\n[//]: # ( \n\n\n\n\n\n\n\n)\n\n[//]: # ( )\n\n[//]: # ( )\n\n\n## 🔥 News\n\n- Jul 26, 2025: 🤗 We release the first open-source, simulation-capable, immersive 3D world generation model, [HunyuanWorld-1.0](https://github.com/Tencent-Hunyuan/HunyuanWorld-1.0)!\n- Jun 19, 2025: 👋 We pres"},{"ref":"P17","kind":"page","title":"Tencent-Hunyuan/ArtifactsBenchmark repository metadata","date":"2026-06-11T03:57:32.928773+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/ArtifactsBenchmark","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/ArtifactsBenchmark\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 264\n\nForks: 21\n\nOpen issues: 2\n\nCreated: 2025-06-26T12:44:06Z\n\nPushed: 2025-12-30T06:38:40Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n \n\n# ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation\n\n**Tencent Hunyuan Team**\n\n---\n\n \n\n## Introduction\n\nThe generative capabilities of Large Language Models (LLMs) are rapidly expanding from static code to dynamic, interactive visual artifacts. This progress is bottlenecked by a critical evaluation gap: established benchmarks focus on algorithmic correctness and are blind to the visual fidelity and interactive integrity that define modern user experiences.\n\nTo bridge this gap, we introduce **ArtifactsBench**, a new benchmark and paradigm for the automated, multimodal evaluation of visual code generation. Our framework programmatically renders each generated artifact and captures its dynamic behavior, which is then assessed by an MLLM-as-Judge guided by a fine-grained, per-task checklist to ensure holistic and reproducible scoring.\n\nArtifactsBench is open-sourced, including the benchmark with **1,825 diverse tasks**, the evaluation harness, and baseline results, to provide the community with a scalable and accurate tool to accelerate the development of user-centric generative models.\n\n## 🚀 Latest Updates & Release"},{"ref":"P18","kind":"page","title":"Tencent-Hunyuan/Hunyuan-A13B repository metadata","date":"2026-06-11T03:57:32.665433+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/Hunyuan-A13B","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/Hunyuan-A13B\n\nDescription: Tencent Hunyuan A13B (short as Hunyuan-A13B), an innovative and open-source LLM built on a fine-grained MoE architecture.\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 816\n\nForks: 116\n\nOpen issues: 35\n\nCreated: 2025-06-27T01:02:27Z\n\nPushed: 2025-07-08T08:45:27Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n📖 Paper •\n🏠 Home Page •\n💻 Data •\n🏆 Leaderboard •\n📜 Citation\n \n\n\n \n![](\"figures/first_image.png\") \n\nFigure 1: Automation level versus human–alignment across evaluation frameworks. The red star marks the fully manual WebDev Arena (100% human effort), while the blue bubble denotes our checklist-guided MLLM evaluation, ArtifactsBench, which achieves 94.4% agreement with human votes with 100% automation.\n \n\n中文 ｜ English\n \n\n\n \n \n \nTechnical Report |\nGITHUB |\ncnb.cool |\nLICENSE |\nDiscord |\nWeChat / WeCom\n \n\nWelcome to the official repository of **Hunyuan-A13B**, an innovative and open-source large language model (LLM) built on a fine-grained Mixture-of-Experts (MoE) architecture. Designed for efficiency and scalability, Hunyuan-A13B delivers cutting-edge performance with minimal computational overhead, making it an ideal choice for advanced reasoning and general-purpo"},{"ref":"P19","kind":"page","title":"Tencent-Hunyuan/C3-Benchmark repository metadata","date":"2026-06-11T03:57:32.506242+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/C3-Benchmark","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/C3-Benchmark\n\nDescription: C^3-Bench: The Things Real Disturbing LLM based Agent in Multi-Tasking\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 38\n\nForks: 3\n\nOpen issues: 0\n\nCreated: 2025-06-26T13:37:43Z\n\nPushed: 2026-03-01T15:28:39Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# C^3-Bench: The Things Real Disturbing LLM based Agent in Multi-Tasking\n\n\n📖 English •\n中文\n \n \n \n\n[//]: # ( \n\n\n\n\n\n\n)\n\n[//]: # ( )\n\n[//]: # ( )\n\n\n\n \n\"To see a World in a Grain of Sand, and a Heaven in a Wild Flower\"\n \n\nhttps://github.com/user-attachments/assets/747b3e41-df9c-4cd2-b1d1-c0dce63f63ef\n\n## 🔥 News\n- April 16, 2026: 🤗 We release [HY-World-2.0](https://github.com/Tencent-Hunyuan/HY-World-2.0), state-of-the-art 3D world mode"},{"ref":"P21","kind":"page","title":"Tencent-Hunyuan/MixGRPO repository metadata","date":"2026-06-11T03:57:32.350263+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/MixGRPO","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/MixGRPO\n\nDescription: (arXiv) MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 1140\n\nForks: 49\n\nOpen issues: 1\n\nCreated: 2025-07-29T08:37:47Z\n\nPushed: 2026-02-26T03:10:01Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n \n\n## 📝 News\n- [2026/02/03] We supported [Coefficie"},{"ref":"P22","kind":"page","title":"Tencent-Hunyuan/Hunyuan-7B repository metadata","date":"2026-06-11T03:57:32.141498+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/Hunyuan-7B","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/Hunyuan-7B\n\nDescription: Tencent Hunyuan 7B (short as Hunyuan-7B) is one of the large language dense models of Tencent Hunyuan\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 72\n\nForks: 11\n\nOpen issues: 9\n\nCreated: 2025-08-03T11:24:09Z\n\nPushed: 2025-08-11T11:07:08Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\nMixGRPO:Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE\n\n\n![\"arXiv\"](\"https://img.shields.io/badge/arXiv-MixGRPO-red?logo=arxiv\"){kind=icon} \n\n![\"Website\"](\"https://img.shields.io/badge/💻_Project-MixGRPO-blue.svg\"){kind=icon} \n\n![\"\"](\"https://img.shields.io/badge/%F0%9F%A4%97%20_Model-MixGRPO-ffc107?color=ffc107&logoColor=white\"){kind=icon} \n\n\nJunzhe Li1,2,3*,\nYutao Cui1*, \nTao Huang1*,\nYinping Ma3,\nChun Fan3,\nMiles Yang1,\nZhao Zhong1,\nLiefeng Bo1\n \n\n\n1Hunyuan, Tencent \n\n2School of Computer Science, Peking University \n\n3Computer Center, Peking University \n \n\n\n中文 ｜ English\n \n\n\n \n \n🤗 Hugging Face | \n \n🖥️ Official Website | \n🕖 HunyuanAPI | \n🕹️ Demo \n \n\n\nGITHUB |\ncnb.cool |\nLICENSE\n \n\n## Model Introduction\n\nHunyuan is Tencent's open-source efficient large language model series, designed for versatile deployment across diverse computational environments. From edge devices to high-concurrency production systems, these models deliver optimal performance with advanced quantization support and ultra-long context capabilities.\n\nWe have released a series of Hunyuan dense models, comprising both pre-trained and instruction-tuned variants,"},{"ref":"P23","kind":"page","title":"Tencent-Hunyuan/Hunyuan-4B repository metadata","date":"2026-06-11T03:57:31.715336+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/Hunyuan-4B","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/Hunyuan-4B\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 17\n\nForks: 3\n\nOpen issues: 1\n\nCreated: 2025-08-04T02:16:38Z\n\nPushed: 2025-08-05T06:13:39Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n中文 ｜ English\n \n\n\n \n \n🤗 Hugging Face | \n \n🖥️ Official Website | \n🕖 HunyuanAPI | \n🕹️ Demo \n \n\n\nGITHUB | \ncnb.cool | \nLICENSE\n \n\n## Model Introduction\n\nHunyuan is Tencent's open-source efficient large language model series, designed for versatile deployment across diverse computational environments. From edge devices to high-concurrency production systems, these models deliver optimal performance with advanced quantization support and ultra-long context capabilities.\n\nWe have released a series of Hunyuan dense models, comprising both pre-trained and instruction-tuned variants, with parameter scales of 0.5B, 1.8B, 4B, and 7B. These models adopt training strategies similar to the Hunyuan-A13"},{"ref":"P24","kind":"page","title":"Tencent-Hunyuan/Hunyuan-1.8B repository metadata","date":"2026-06-11T03:57:31.610982+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/Hunyuan-1.8B","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/Hunyuan-1.8B\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 44\n\nForks: 6\n\nOpen issues: 1\n\nCreated: 2025-08-04T03:26:46Z\n\nPushed: 2025-08-05T05:33:50Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n中文 ｜ English\n \n\n\n \n \n🤗 Hugging Face | \n \n🖥️ Official Website | \n🕖 HunyuanAPI | \n🕹️ Demo \n \n\n\nGITHUB | \ncnb.cool | \nLICENSE\n \n\n## Model Introduction\n\nHunyuan is Tencent's open-source efficient large language model series, designed for versatile deployment across diverse computational environments. From edge devices to high-concurrency production systems, these models deliver optimal performance with advanced quantization support and ultra-long context capabilities.\n\nWe have released a series of Hunyuan dense models, comprising both pre-trained and instruction-tuned variants, with parameter scales of 0.5B, 1.8B, 4B, and 7B. These models adopt training strategies similar to the Hunyuan-A"},{"ref":"P25","kind":"page","title":"Tencent-Hunyuan/Hunyuan-0.5B repository metadata","date":"2026-06-11T03:57:31.590868+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/Hunyuan-0.5B","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/Hunyuan-0.5B\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 55\n\nForks: 6\n\nOpen issues: 3\n\nCreated: 2025-08-04T03:29:11Z\n\nPushed: 2025-08-05T05:00:25Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n中文 ｜ English\n \n\n\n \n \n🤗 Hugging Face | \n \n🖥️ Official Website | \n🕖 HunyuanAPI | \n🕹️ Demo \n \n\n\nGITHUB | \ncnb.cool | \nLICENSE\n \n\n## Model Introduction\n\nHunyuan is Tencent's open-source efficient large language model series, designed for versatile deployment across diverse computational environments. From edge devices to high-concurrency production systems, these models deliver optimal performance with advanced quantization support and ultra-long context capabilities.\n\nWe have released a series of Hunyuan dense models, comprising both pre-trained and instruction-tuned variants, with parameter scales of 0.5B, 1.8B, 4B, and 7B. These models adopt training strategies similar to the Hunyuan-A"},{"ref":"P26","kind":"page","title":"Tencent-Hunyuan/Hunyuan-GameCraft-1.0 repository metadata","date":"2026-06-11T03:57:31.584599+00:00","date_source":null,"source_url":"https://github.com/Tencent-Hunyuan/Hunyuan-GameCraft-1.0","signal_url":null,"signal_json_url":null,"text":"# Tencent-Hunyuan/Hunyuan-GameCraft-1.0\n\nDescription: Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition\n\nLanguage: Python\n\nLicense: NOASSERTION\n\nStars: 723\n\nForks: 75\n\nOpen issues: 18\n\nCreated: 2025-08-13T07:56:51Z\n\nPushed: 2025-11-28T07:05:10Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\n\n\n# **Hunyuan-GameCraft** 🎮\n\n\n \n\n\n\n> [**Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition**](https://arxiv.org/abs/2506.17201) ![](\"https://img.shields.io/static/v1?label=Code&message=Github&color=blue\") \n \n![](\"https://img.shields.io/badge/ArXiv-2506.17201-red\"){kind=icon} \n![](\"https://img.shields.io/static/v1?label=Huggingface&message=Hunyuan-GameCraft-1.0&color=yellow\") \n\n\n \n\n---\n\n![\"HunyuanVideo-Foley](\"assets/logo.png\"){kind=logo} \n\nMultimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation\n\n\nProfessional-grade AI sound effect generation for video content creators\n \n\n\n \n\n \n\n\n\n\n\n \n\n\n### 👥 **Authors**\n\n \n\n**Sizhe Shan**1,2* • **Qiulin Li**1,3* • **Yutao Cui**1 • **Miles Yang**1 • **Yuehai Wang**2 • **Qun Yang**3 • **Jin Zhou**1† • **Zhao Zhong**1\n\n \n\n\n中文 ｜ English\n\n \n\n \n \n🤗 Hugging Face | \n \n🖥️ Official Website | \n🕹️ Demo \n \n\n\nGITHUB | \nTechnical Report \n \n\n## Model Introduction\n\nThe Hunyuan-MT comprises a translation model, Hunyuan-MT-7B, and an ensemble model, Hunyuan-MT-Chimera. The translation model is used to translate source text into the target language, while the ensemble model integrates multiple translation outputs to produce a higher-quality result. It primarily supports mutual translation among 33 languages, including five ethnic minority languages in China.\n\n## Key Features and Advantages\n\n- In the WMT25 competition, the model achieved first place in 30 out of the 31 language categories it participated in.\n- Hunyuan-MT-7B achieves industry-leading performance among models of comparable scale\n- Hunyuan-MT-Chimera-7B is the industry’s first open-source translation ensemble model, elevating translation quality to a new level\n- A comprehensive training framework for translation models has been "},{"ref":"E1","kind":"event","title":"tencent/Hy-MT2-1.8B","date":"2026-05-11T08:22:10+00:00","date_source":"source","source_url":"https://huggingface.co/tencent/Hy-MT2-1.8B","signal_url":"https://onlylabs.fyi/signals/e8216daa-50ec-44ed-84c8-af06f1263070","signal_json_url":"https://onlylabs.fyi/signals/e8216daa-50ec-44ed-84c8-af06f1263070/signal.json","text":"model_released · tencent/Hy-MT2-1.8B · signal_desk=releases · 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