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Llama 2 4.5
$20.00
Specifications Score
This AI tool has a specifications score of 53% based on its key features.
Llama 2 Key Features
Quick Overview
Tool Name: LLaMA 2
Developer: Meta
Technical Specifications
Model: LLaMA 2
Parameters: Up to 70B parameters
Performance & Benchmarking
Average Response Time: 190 ms
Benchmark Scores: 93%, 91%
Pricing & Subscription
Free Tier: Available for academic and research purposes
Paid Plans: Commercial License, Custom Pricing, Extended support, integration services, and proprietary enhancements
Integration & Developer Tools
Interface Types: API, Command Line Interface, SDKs
API Documentation: In-depth and research-oriented
User Interface & Experience
UI Design: Clean, minimal, research-centric
Customization: High – adjustable parameters and interfaces
Llama 2 Specs Summary
LLaMA 2 is Meta’s open-access large language model designed to empower researchers and developers with cutting-edge AI capabilities. With up to 70 billion parameters, LLaMA 2 offers a robust transformer architecture optimized for academic and commercial research alike. Its flexibility allows for extensive fine-tuning, enabling users to adapt the model to a wide range of tasks—from natural language understanding to creative content generation. Emphasizing transparency and scalability, LLaMA 2 comes with comprehensive documentation and open-source tools that foster collaborative research across the global academic community. The platform supports a diverse set of languages, ensuring inclusivity and accessibility. Security and compliance are maintained through state-of-the-art encryption and strict adherence to international standards. With a user-friendly interface and interactive performance dashboards, LLaMA 2 is an ideal choice for those seeking advanced, research-grade AI technology. Its continuously evolving roadmap promises further enhancements, ensuring it remains at the forefront of AI research and development.
Llama 2 Full Specifications
| Feature | Details | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
Quick Overview |
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| Tool Name | LLaMA 2 | |||||||||
| Developer | Meta | |||||||||
| Category | Large Language Model | |||||||||
| Core Technology | Advanced Transformer-based Neural Network | |||||||||
| Languages Supported | Multiple languages with a focus on global inclusivity | |||||||||
| Unique Selling Points | Open-access, research-focused model with robust performance | |||||||||
| Official Website | https://ai.meta.com/llama2 | |||||||||
| Pricing Model | Free for research with commercial licenses available | |||||||||
| Visual Icon | 🦙 | |||||||||
Technical Specifications |
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| Model | LLaMA 2 | |||||||||
| Parameters | Up to 70B parameters | |||||||||
| Architecture | Optimized Transformer-based architecture | |||||||||
| Context Window | Handles extended context for research queries | |||||||||
| Fine-tuning | Fully customizable for academic and commercial use | |||||||||
| Dynamic Capabilities | 1 | |||||||||
| Technical Diagram URL |
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| Visual Icon | 🔧 | |||||||||
Performance & Benchmarking |
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| Average Response Time | 190 ms | |||||||||
| Benchmark Scores |
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| Code Quality | Designed for high-quality research outputs | |||||||||
| Interactive Performance Chart | ||||||||||
| Visual Icon | 🚀 | |||||||||
Pricing & Subscription |
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| Free Tier | Available for academic and research purposes | |||||||||
| Paid Plans |
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| Billing Cycle | Flexible | |||||||||
| Cost Comparison Table |
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| Visual Icon | 💰 | |||||||||
Integration & Developer Tools |
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| Interface Types | API, Command Line Interface, SDKs | |||||||||
| API Documentation | In-depth and research-oriented | |||||||||
| SDKs & Libraries | Python, C++, Java | |||||||||
| Authentication | API Key based | |||||||||
| API Rate Limits | Variable by usage; high volume for research | |||||||||
| Integration Flowchart URL |
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| Dynamic Integration Options | 1 | |||||||||
| Visual Icon | 🔗 | |||||||||
User Interface & Experience |
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| UI Design | Clean, minimal, research-centric | |||||||||
| Customization | High – adjustable parameters and interfaces | |||||||||
| Accessibility | Designed for global academic accessibility | |||||||||
| Mobile Optimization | Optimized for responsive design | |||||||||
| Interactive Elements | Interactive code examples and model demos | |||||||||
| Visual Icon | 🎨 | |||||||||
Scalability & Infrastructure |
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| Concurrent Sessions | Supports extensive concurrent research queries | |||||||||
| Auto-Scaling | Cloud-native with research-grade auto-scaling | |||||||||
| Performance Optimization | Optimized for heavy research workloads | |||||||||
| Load Balancing | Intelligent load distribution across data centers | |||||||||
| Infrastructure Diagram URL |
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| Visual Icon | 📈 | |||||||||
Security & Compliance |
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| Data Encryption | AES-256 encryption for secure data handling | |||||||||
| Compliance | GDPR, FERPA | |||||||||
| Data Retention Policy | Configurable based on research needs | |||||||||
| Authentication & Authorization | Robust API key and token-based access | |||||||||
| Security Audits | Conducted regularly | |||||||||
| Security Dashboard URL |
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| Visual Icon | 🔒 | |||||||||
Developer & Community Resources |
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| Documentation | Extensive, open-access research documentation | |||||||||
| Tutorials & Guides | Workshops, webinars, and detailed guides | |||||||||
| Community Forums | Active academic and research communities | |||||||||
| GitHub Repositories | Open-source projects and model examples | |||||||||
| Live Chat Support | Community-driven and developer support channels | |||||||||
| Visual Icon | 👥 | |||||||||
Visual Analytics & Interactive Elements |
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| Charts & Graphs | Real-time research performance analytics | |||||||||
| Colored Icons | Consistent academic color palette | |||||||||
| Interactive Tables | Data comparison tables and model metrics | |||||||||
| Data Visualizations |
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| Dynamic Elements | 1 | |||||||||
| Visual Icon | 📊 | |||||||||
Advanced Features & Innovations |
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| Research Customization | Extensive fine-tuning for academic projects | |||||||||
| Contextual Understanding | High contextual accuracy across domains | |||||||||
| Real-Time Adaptation | Adapts to evolving research trends | |||||||||
| Custom AI Training | Supports research-specific training datasets | |||||||||
| Innovation Highlights | Open research model access, High performance on academic benchmarks, Customizable research parameters | |||||||||
| Visual Icon | ✨ | |||||||||
Release & Roadmap |
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| Initial Launch | July 2023 | |||||||||
| Current Version | LLaMA 2 v1.0 | |||||||||
| Update Frequency | Periodic research-driven updates | |||||||||
| Upcoming Features | Enhanced multi-modal research capabilities, Broader dataset integrations, Expanded language support | |||||||||
| Roadmap Timeline |
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| Visual Icon | 🗓️ | |||||||||
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