Athene V2 72B - Details

Last update on 2025-05-18

The Athene V2 72B is a large language model developed by Nexusflow, featuring 72 billion parameters. It is fine-tuned from Qwen 2.5 to achieve performance comparable to GPT-4. The model is released under the Nexusflowai License Terms for Personal Use, allowing specific personal applications. As a company-maintained project, it emphasizes scalability and advanced natural language processing capabilities.

Description of Athene V2 72B

Athene V2 72B is an open-weights large language model designed to match GPT-4o in performance across benchmarks. It leverages RLHF (Reinforcement Learning with Human Feedback) training using Qwen-2.5-72B-Instruct as its base model. The model excels in chat interactions, mathematical problem-solving, and coding tasks, making it versatile for complex applications. Developed by The Nexusflow Team, it emphasizes scalability and high-quality outputs while maintaining accessibility for users.

Parameters & Context Length of Athene V2 72B

72b 73b 2k

The Athene V2 72B is a large language model with 72 billion parameters, placing it in the large-scale category capable of handling complex tasks like advanced reasoning and multi-step problem-solving, though it requires significant computational resources. Its 2k token context length limits its ability to process extremely long texts, making it more suited for tasks requiring focused, concise interactions rather than extended document analysis. The model’s parameter size ensures robust performance across diverse applications, while its context length reflects a balance between efficiency and practicality for most use cases.

  • Parameter Size: 72b
  • Context Length: 2k

Possible Intended Uses of Athene V2 72B

code generation education chat applications coding chat assistant

The Athene V2 72B is a versatile large language model with 72 billion parameters that could support possible applications in areas like chat interactions, math problem solving, and code generation. Its design suggests it might be suitable for tasks requiring nuanced dialogue, complex calculations, or programming assistance, though these possible uses would need careful evaluation to ensure alignment with specific requirements. The model’s focus on scalability and performance makes it a candidate for scenarios where possible applications involve dynamic conversations, analytical reasoning, or software development, but further testing would be necessary to confirm its effectiveness in these domains.

  • chat interactions
  • math problem solving
  • code generation

Possible Applications of Athene V2 72B

math tutor educational tool code assistant language learning tool data analysis

The Athene V2 72B is a large-scale language model with 72 billion parameters that could support possible applications in areas such as chat interactions, math problem solving, code generation, and content creation. Its design suggests it might be suitable for tasks requiring dynamic dialogue, analytical reasoning, or programming assistance, though these possible uses would need careful assessment to ensure they meet specific needs. The model’s capabilities could also be explored for educational tools or data analysis, but these potential applications would require thorough testing to confirm their effectiveness. Each possible use case must be evaluated and validated before deployment to ensure alignment with intended goals.

  • chat interactions
  • math problem solving
  • code generation
  • content creation

Quantized Versions & Hardware Requirements of Athene V2 72B

32 ram 48 vram 32 vram

The Athene V2 72B’s medium q4 version requires a GPU with at least 32GB VRAM (multiple GPUs may be needed for optimal performance) and 32GB system RAM to handle its 72 billion parameters efficiently. This quantized version balances precision and performance, making it suitable for systems with moderate to high-end hardware. However, possible applications of the model may vary depending on the specific use case, and users should verify their hardware compatibility before deployment.

  • fp16, q2, q3, q4, q5, q6, q8

Conclusion

The Athene V2 72B is a large language model developed by Nexusflow, featuring 72 billion parameters and achieving GPT-4-level performance through fine-tuning from Qwen 2.5. It is released under the Nexusflowai License Terms for Personal Use, emphasizing scalability and advanced natural language processing capabilities.

References

Huggingface Model Page
Ollama Model Page

Athene-V2
Athene-V2
Maintainer
Parameters & Context Length
  • Parameters: 72b
  • Context Length: 2K
Statistics
  • Huggingface Likes: 295
  • Huggingface Downloads: 1K
Intended Uses
  • Chat Interactions
  • Math Problem Solving
  • Code Generation
Languages
  • English