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Small Language Models

Efficient AI
At Scale

Lightweight language models (1B-8B parameters) that deliver enterprise-grade performance with dramatically reduced computational requirements and enhanced privacy controls.

Model Selector

Rit-3B

3 Billion Parameters

3.1GB
Model Size
< 25ms
Inference Speed
91.8%
GLUE Score
Enterprise
Best For

Balanced performance and efficiency, ideal for enterprise applications requiring high accuracy with reasonable compute.

Model Lineup

Three models optimized for different deployment scenarios and performance requirements.

Rit-1B

1 Billion Parameters

Ultra-lightweight model perfect for edge devices, mobile applications, and real-time inference requirements.

Optimized for mobile deployment
Battery-efficient processing
Offline capability
Real-time inference
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MOST POPULAR

Rit-3B

3 Billion Parameters

Balanced performance and efficiency, ideal for enterprise applications requiring high accuracy with reasonable compute.

Enterprise-grade performance
Scalable deployment
Multi-language support
Custom fine-tuning
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Rit-8B

8 Billion Parameters

Maximum performance model for complex reasoning, research applications, and mission-critical deployments.

State-of-the-art accuracy
Complex reasoning capabilities
Research-grade performance
Advanced fine-tuning options
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Detailed Comparison

MetricRit-1BRit-3BRit-8B
GLUE Score87.391.894.7
Model Size1.2GB3.1GB7.8GB
Throughput (tokens/sec)2,4001,8001,200
Latency (P95)8ms22ms48ms
Memory Usage1.2GB3.1GB7.8GB
Deployment TargetEdge/MobileEnterpriseResearch/Cloud

Key Features

Advanced capabilities built into every model for enterprise deployment and optimal performance.

SDCA Architecture

Our patented Semantic Distance-based Compression Attention delivers up to 30x efficiency improvements.

30x computational efficiency
Maintained accuracy
Reduced memory footprint

Edge Deployment

Optimized for deployment on edge devices, mobile platforms, and resource-constrained environments.

Mobile-optimized
Offline capability
Battery efficient

Easy Integration

Simple APIs and SDKs for seamless integration into existing applications and workflows.

REST & GraphQL APIs
Python/JS SDKs
Docker containers

Privacy First

On-premises deployment options with enhanced privacy controls and data sovereignty.

On-premises deployment
Data sovereignty
GDPR compliant

Real-time Inference

Sub-millisecond inference times for real-time applications and interactive experiences.

< 50ms latency
Streaming responses
Batched processing

Custom Fine-tuning

Domain-specific fine-tuning capabilities for specialized use cases and improved performance.

Domain adaptation
Few-shot learning
Continual learning

Performance Metrics

Benchmark results across standard evaluation metrics and real-world performance.

94.7%
Peak Accuracy
GLUE benchmark (Rit-8B)
30x
Efficiency Gain
vs traditional models
8ms
Fastest Inference
P95 latency (Rit-1B)
85%
Memory Reduction
vs comparable models

Accuracy vs Efficiency Trade-off

Rit-1B
Rit-3B
Rit-8B
Efficiency →
Accuracy ↑

Deploy Efficient AI Today

Start building with our small language models and experience the perfect balance of performance, efficiency, and cost-effectiveness.