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Average Ratings 0 Ratings
Description
MiMo-V2-Flash is a large language model created by Xiaomi that utilizes a Mixture-of-Experts (MoE) framework, combining remarkable performance with efficient inference capabilities. With a total of 309 billion parameters, it activates just 15 billion parameters during each inference, allowing it to effectively balance reasoning quality and computational efficiency. This model is well-suited for handling lengthy contexts, making it ideal for tasks such as long-document comprehension, code generation, and multi-step workflows. Its hybrid attention mechanism integrates both sliding-window and global attention layers, which helps to minimize memory consumption while preserving the ability to understand long-range dependencies. Additionally, the Multi-Token Prediction (MTP) design enhances inference speed by enabling the simultaneous processing of batches of tokens. MiMo-V2-Flash boasts impressive generation rates of up to approximately 150 tokens per second and is specifically optimized for applications that demand continuous reasoning and multi-turn interactions. The innovative architecture of this model reflects a significant advancement in the field of language processing.
Description
TabPFN-3.5 is an advanced foundation model specifically designed for achieving top-tier predictions on structured data, making it highly effective for a variety of tasks such as churn analysis, fraud detection, pricing strategies, demand forecasting, and risk assessment, thus enabling teams to utilize a single model for diverse applications. The model seamlessly processes data in its original form, adeptly managing issues like missing values, outliers, categorical data, multi-table datasets, free text features, and thousands of unique identifiers without requiring any encoding, while also accommodating numerous measurements per row. Users have the convenience of inputting raw data without the need for extensive feature engineering or preprocessing, allowing them to obtain high-quality, production-ready predictions immediately after the initial prediction call. Notably, TabPFN-3.5 generates predictions in a single forward pass, striking an optimal balance between accuracy and speed, and is optimized for quick inference, which is crucial for latency-sensitive predictive applications. Furthermore, it can efficiently handle large-scale datasets of up to one million rows natively and boasts a remarkable 20 times faster inference speed compared to its predecessors, making it a significant advancement in the field. This combination of efficiency, versatility, and performance positions TabPFN-3.5 as a powerful tool for data scientists and organizations seeking to leverage structured data effectively.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
No
Claude Code
Yes
Databricks
No
Google Cloud Platform
No
Hugging Face
Yes
Microsoft Azure
No
Model Context Protocol (MCP)
No
NVIDIA DRIVE
No
Python
No
SAP Cloud Platform
No
Integrations
Amazon Web Services (AWS)
Yes
Claude Code
No
Databricks
Yes
Google Cloud Platform
Yes
Hugging Face
No
Microsoft Azure
Yes
Model Context Protocol (MCP)
Yes
NVIDIA DRIVE
Yes
Python
Yes
SAP Cloud Platform
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Xiaomi Technology
Founded
2010
Country
China
Website
mimo.xiaomi.com/blog/mimo-v2-flash
Vendor Details
Company Name
Prior Labs
Founded
2024
Country
Germany
Website
priorlabs.ai/tabpfn-3-5