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@@ -5,45 +5,25 @@ license: other
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  license_name: modified-mit
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  library_name: transformers
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  pipeline_tag: image-text-to-text
 
 
 
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  ---
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  <div align="center">
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  <picture>
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- <img src="figures/kimi-logo.png" width="30%" alt="Kimi K2.6">
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  </picture>
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- </div>
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- <hr>
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- <div align="center" style="line-height:1">
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- <a href="https://www.kimi.com" target="_blank"><img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-Kimi%20K2.6-ff6b6b?color=1783ff&logoColor=white"/></a>
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- <a href="https://www.moonshot.ai" target="_blank"><img alt="Homepage" src="https://img.shields.io/badge/Homepage-Moonshot%20AI-white?logo=Kimi&logoColor=white"/></a>
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- </div>
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-
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- <div align="center" style="line-height: 1;">
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- <a href="https://huggingface.co/moonshotai" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Moonshot%20AI-ffc107?color=ffc107&logoColor=white"/></a>
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- <a href="https://twitter.com/kimi_moonshot" target="_blank"><img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-Kimi.ai-white?logo=x&logoColor=white"/></a>
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- <a href="https://discord.gg/TYU2fdJykW" target="_blank"><img alt="Discord" src="https://img.shields.io/badge/Discord-Kimi.ai-white?logo=discord&logoColor=white"/></a>
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- <a href="https://modelscope.cn/organization/moonshotai" target="_blank"><img alt="ModelScope" src="https://img.shields.io/badge/ModelScope-Moonshot%20AI-white?labelColor=rgb(99%2C%2074%2C%20255)"/></a>
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- </div>
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- <div align="center" style="line-height: 1;">
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- <a href="https://huggingface.co/moonshotai/Kimi-K2.6/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/badge/License-Modified_MIT-f5de53?&color=f5de53"/></a>
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- </div>
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-
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-
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- <p align="center">
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- 🤗&nbsp;&nbsp;<a href="https://huggingface.co/spaces/akhaliq/Kimi-K2.6" target="_blank">huggingchat</a>
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- &nbsp;|&nbsp;
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- 📰&nbsp;&nbsp;<a href="https://www.kimi.com/blog/kimi-k2-6.html">Tech Blog</a>
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- </p>
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  ## 1. Model Introduction
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- Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.
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  ### Key Features
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- - **Long-Horizon Coding**: K2.6 achieves significant improvements on complex, end-to-end coding tasks, generalizing robustly across programming languages (Rust, Go, Python) and domains spanning front-end, DevOps, and performance optimization.
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- - **Coding-Driven Design**: K2.6 is capable of transforming simple prompts and visual inputs into production-ready interfaces and lightweight full-stack workflows, generating structured layouts, interactive elements, and rich animations with deliberate aesthetic precision.
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- - **Elevated Agent Swarm**: Scaling horizontally to 300 sub-agents executing 4,000 coordinated steps, K2.6 can dynamically decompose tasks into parallel, domain-specialized subtasks, delivering end-to-end outputs from documents to websites to spreadsheets in a single autonomous run.
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- - **Proactive & Open Orchestration**: For autonomous tasks, K2.6 demonstrates strong performance in powering persistent, 24/7 background agents that proactively manage schedules, execute code, and orchestrate cross-platform operations without human oversight.
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  ## 2. Model Summary
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@@ -624,4 +604,4 @@ See [THIRD PARTY NOTICES](THIRD_PARTY_NOTICES.md)
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  ## 9. Contact Us
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- If you have any questions, please reach out at [support@moonshot.ai](mailto:support@moonshot.ai).
 
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  license_name: modified-mit
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  library_name: transformers
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  pipeline_tag: image-text-to-text
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+ language:
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+ - en
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+ - hi
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  ---
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  <div align="center">
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  <picture>
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+ <img src="https://i.ibb.co/k26TQhCd/6967-removebg-preview.png" alt="6967 removebg preview" border="0">
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  </picture>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## 1. Model Introduction
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+ Vedika 2.0 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.
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  ### Key Features
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+ - **Long-Horizon Coding**: Vedika 2.0 achieves significant improvements on complex, end-to-end coding tasks, generalizing robustly across programming languages (Rust, Go, Python) and domains spanning front-end, DevOps, and performance optimization.
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+ - **Coding-Driven Design**: Vedika 2.0 is capable of transforming simple prompts and visual inputs into production-ready interfaces and lightweight full-stack workflows, generating structured layouts, interactive elements, and rich animations with deliberate aesthetic precision.
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+ - **Elevated Agent Swarm**: Scaling horizontally to 300 sub-agents executing 4,000 coordinated steps, Vedika 2.0 can dynamically decompose tasks into parallel, domain-specialized subtasks, delivering end-to-end outputs from documents to websites to spreadsheets in a single autonomous run.
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+ - **Proactive & Open Orchestration**: For autonomous tasks, Vedika 2.0 demonstrates strong performance in powering persistent, 24/7 background agents that proactively manage schedules, execute code, and orchestrate cross-platform operations without human oversight.
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  ## 2. Model Summary
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  ## 9. Contact Us
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+ If you have any questions, please reach out at [support@moonshot.ai](mailto:support@moonshot.ai).