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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Aikido Altar represents a cutting-edge open-weight security framework designed to empower organizations with advanced defensive security intelligence tailored for their infrastructures. This model is particularly suited for environments requiring sovereign security where sensitive assets like source code, architectural documents, vulnerability assessments, and other confidential information must remain within the organization's confines and not be shared with external inference services. Built on the GLM-5.3 architecture, Altar employs techniques such as quantization and expert pruning to compress the model size from an extensive 1.51 TB in full precision down to a more manageable 328 GB, all while maintaining the majority of the original model's reasoning and security features. The model retains 168 out of the original 256 routed experts in each backbone expert layer and adopts a W4A16 representation, enhancing its practicality for security tasks that require handling extensive and evolving context windows. The calibration of expert selection was conducted using internal pentesting data and multilingual sources, ensuring that no client information was utilized, which upholds the integrity of cybersecurity, programming, and linguistic capabilities. This innovative approach not only streamlines deployment but also fortifies the organization's security posture against emerging threats.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code No 
Hugging Face No 
Xiaomi MiMo No 
Xiaomi MiMo Studio No 

Integrations

Claude Code Yes 
Hugging Face Yes 
Xiaomi MiMo Yes 
Xiaomi MiMo Studio Yes 

Pricing Details

$350 per month
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Aikido Security

Founded

2022

Country

Belgium

Website

www.aikido.dev/blog/aikido-altar-open-weight-ai-sovereign-security

Vendor Details

Company Name

Xiaomi Technology

Founded

2010

Country

China

Website

mimo.xiaomi.com/blog/mimo-v2-flash

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