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What is MiMo-V2.5?

Xiaomi MiMo-V2.5 is a powerful open-source AI model designed to deliver advanced agentic capabilities alongside native multimodal understanding. It can process and reason across text, images, and audio within a unified system, enabling more complex and realistic interactions. The model is built using a sparse Mixture-of-Experts architecture with hundreds of billions of parameters, allowing it to scale efficiently while maintaining strong performance. It supports an extended context window of up to one million tokens, making it suitable for long-horizon tasks and detailed workflows. MiMo-V2.5 incorporates dedicated visual and audio encoders that enhance its ability to interpret and analyze multimodal inputs. It is capable of performing a wide range of tasks, including coding, reasoning, document analysis, and multimedia understanding. The model demonstrates strong benchmark performance across coding, reasoning, and multimodal evaluation tests. It is optimized for token efficiency, reducing computational cost while maintaining high-quality outputs. MiMo-V2.5 is designed to integrate with development tools and frameworks for real-world use cases. Xiaomi has released the model as open source, providing access to its weights, tokenizer, and architecture. This allows developers to customize and deploy the model for specific applications. Its ability to combine perception and reasoning makes it suitable for advanced AI workflows. By unifying multimodality and agentic intelligence, MiMo-V2.5 represents a significant advancement in open-source AI technology.

What is DBRX?

We are excited to introduce DBRX, a highly adaptable open LLM created by Databricks. This cutting-edge model sets a new standard for open LLMs by achieving remarkable performance across a wide range of established benchmarks. It offers both open-source developers and businesses the advanced features that were traditionally limited to proprietary model APIs; our assessments show that it surpasses GPT-3.5 and stands strong against Gemini 1.0 Pro. Furthermore, DBRX shines as a coding model, outperforming dedicated systems like CodeLLaMA-70B in various programming tasks, while also proving its capability as a general-purpose LLM. The exceptional quality of DBRX is further enhanced by notable improvements in training and inference efficiency. With its sophisticated fine-grained mixture-of-experts (MoE) architecture, DBRX pushes the efficiency of open models to unprecedented levels. In terms of inference speed, it can achieve performance that is twice as fast as LLaMA2-70B, and its total and active parameter counts are around 40% of those found in Grok-1, illustrating its compact structure without sacrificing performance. This unique blend of velocity and size positions DBRX as a transformative force in the realm of open AI models, promising to reshape expectations in the industry. As it continues to evolve, the potential applications for DBRX in various sectors are vast and exciting.

Media

Media

Integrations Supported

BLACKBOX AI
Canopy Wave
Cline
ClinePass
Hermes Agent
Kilo Code
OpenClaw
OpenCode
Roo Code
Shiori
Vercel AI Gateway
Xiaomi MiMo
Xiaomi MiMo Studio

Integrations Supported

Cogent DataHub
Double
GPT-3.5
GPT-4
Rayven
Visplore
ZenML

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Xiaomi Technology

Date Founded

2010

Company Location

China

Company Website

mimo.xiaomi.com

Company Facts

Organization Name

Databricks

Company Location

United States

Company Website

www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

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