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MiMo-V2-Flash is an advanced language model developed by Xiaomi that employs a Mixture-of-Experts (MoE) architecture, achieving a remarkable synergy between high performance and efficient inference. With an extensive 309 billion parameters, it activates only 15 billion during each inference, striking a balance between reasoning capabilities and computational efficiency. This model excels at processing lengthy contexts, making it particularly effective for tasks like long-document analysis, code generation, and complex workflows. Its unique hybrid attention mechanism combines sliding-window and global attention layers, which reduces memory usage while maintaining the capacity to grasp long-range dependencies. Moreover, the Multi-Token Prediction (MTP) feature significantly boosts inference speed by allowing multiple tokens to be processed in parallel. With the ability to generate around 150 tokens per second, MiMo-V2-Flash is specifically designed for scenarios requiring ongoing reasoning and multi-turn exchanges. The cutting-edge architecture of this model marks a noteworthy leap forward in language processing technology, demonstrating its potential applications across various domains. As such, it stands out as a formidable tool for developers and researchers alike.
What is GigaChat 3 Ultra?
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Media
No images available
API Availability
Has API
API Availability
Pricing Information
Free
Free Version
Pricing Information
Free
Open source
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Not specified
Training Options
Documentation Hub
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
Xiaomi Technology
Date Founded
2010
Company Location
China
Company Website
mimo.xiaomi.com/blog/mimo-v2-flash
Company Facts
Organization Name
Sberbank
Date Founded
1841
Company Location
Russia
Company Website
giga.chat
Categories and Features
Categories and Features
AI Models
Not specified
Large Language Models
Not specified