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Description
Nexusflow has unveiled Athene-V2, its newest model suite boasting 72 billion parameters, which has been meticulously fine-tuned from Qwen 2.5 72B to rival the capabilities of GPT-4o. Within this suite, Athene-V2-Chat-72B stands out as a cutting-edge chat model that performs comparably to GPT-4o across various benchmarks; it excels particularly in chat helpfulness (Arena-Hard), ranks second in the code completion category on bigcode-bench-hard, and demonstrates strong abilities in mathematics (MATH) and accurate long log extraction. Furthermore, Athene-V2-Agent-72B seamlessly integrates chat and agent features, delivering clear and directive responses while surpassing GPT-4o in Nexus-V2 function calling benchmarks, specifically tailored for intricate enterprise-level scenarios. These innovations highlight a significant industry transition from merely increasing model sizes to focusing on specialized customization, showcasing how targeted post-training techniques can effectively enhance models for specific skills and applications. As technology continues to evolve, it becomes essential for developers to leverage these advancements to create increasingly sophisticated AI solutions.
Description
Introducing the next iteration of our open-source large language model, this version features model weights along with initial code for the pretrained and fine-tuned Llama language models, which span from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been developed using an impressive 2 trillion tokens and offer double the context length compared to their predecessor, Llama 1. Furthermore, the fine-tuned models have been enhanced through the analysis of over 1 million human annotations. Llama 2 demonstrates superior performance against various other open-source language models across multiple external benchmarks, excelling in areas such as reasoning, coding capabilities, proficiency, and knowledge assessments. For its training, Llama 2 utilized publicly accessible online data sources, while the fine-tuned variant, Llama-2-chat, incorporates publicly available instruction datasets along with the aforementioned extensive human annotations. Our initiative enjoys strong support from a diverse array of global stakeholders who are enthusiastic about our open approach to AI, including companies that have provided valuable early feedback and are eager to collaborate using Llama 2. The excitement surrounding Llama 2 signifies a pivotal shift in how AI can be developed and utilized collectively.
API Access
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API Access
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Integrations
1min.AI
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Airtrain
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Azure Marketplace
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Browser Use
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Cyte
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Decopy AI
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Fleak
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Gopher
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Klee
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Integrations
1min.AI
Yes
AiAssistWorks
Yes
Airtrain
Yes
Azure Marketplace
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Browser Use
Yes
Cyte
Yes
Decopy AI
Yes
Fleak
Yes
Gopher
Yes
Klee
Yes
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Pricing Details
Free
Free Trial
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Free Version
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Deployment
Web-Based
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On-Premises
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iPhone App
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iPad App
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Android App
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Windows
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Mac
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Linux
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Chromebook
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Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
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Live Rep (24/7)
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Online Support
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Customer Support
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Live Rep (24/7)
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Online Support
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Types of Training
Training Docs
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Live Training (Online)
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In Person
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Types of Training
Training Docs
Yes
Webinars
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Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Nexusflow
Country
United States
Website
nexusflow.ai/blogs/athene-v2
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
ai.meta.com/llama/