Using Llama 3.1 405B Instruct on Hyperbolic AI Inference
Implementation guide · Llama 3.1 · AI at Meta
Quick Start
- 1
- 2Use the Hyperbolic AI Inference SDK or REST API to call
llama3.1-405b-instruct— see the documentation for request format. - 3
Code Examples
About Hyperbolic AI Inference
Hyperbolic's AI platform offers an open-access cloud service that democratizes advanced AI computing resources. At its core is Hyper-dOS, a decentralized orchestration layer that efficiently manages global GPU infrastructure with auto-scaling and self-healing capabilities. The platform supports a wide range of AI functionalities, including real-time inference services, model training and fine-tuning, and performance evaluation. Users can access various AI models, such as large language models for text generation and image generation models like Stable Diffusion. The platform also incorporates a vector database for managing high-dimensional data and utilizes retrieval-augmented generation (RAG) techniques, enhancing the overall performance and flexibility of AI applications. The platform provides cost-effective access to high-performance GPUs, potentially reducing operational expenses by up to 80% compared to traditional cloud providers. It allows users to monetize idle GPU resources, fostering a collaborative ecosystem where contributions are rewarded. The platform ensures data privacy and integrity through advanced cryptographic techniques and a verification layer developed in collaboration with academic institutions. This combination of features enhances the scalability and reliability of AI applications, empowering users to innovate and develop AI solutions without the constraints of high costs or limited access to computing power.
Hyperbolic is building an open-access AI cloud platform that provides affordable inference and compute resources for AI applications. Their platform enables developers, researchers, and individuals to build AI applications without relying on centralized infrastructures. Hyperbolic aims to create an open AI ecosystem and economy where contributors are rewarded for their participation. The platform offers access to state-of-the-art AI models, including Llama 3.1 405B and FLUX.1 for image generation, with features such as extended context lengths and optimized performance. Hyperbolic's mission is to democratize AI development by providing a decentralized alternative to traditional Web2 platforms, fostering innovation in the AI space.
Pricing on Hyperbolic AI Inference
| Type | Price (per 1M) |
|---|---|
| Input tokens | $4.00 |
| Output tokens | $4.00 |
Capabilities
About Llama 3.1 405B Instruct
Llama 3.1 405B Instruct is Meta's advanced large language model released on July 23, 2024, featuring 405 billion parameters. It utilizes an optimized transformer architecture with supervised fine-tuning and reinforcement learning for enhanced instruction-following capabilities. The model supports multiple languages, was trained on 15 trillion tokens, and fine-tuned with 25 million synthetic examples. It excels in multilingual dialogue and text generation, making it ideal for assistant-like applications. Llama 3.1 incorporates robust safety measures and ethical considerations, outperforming many existing models on various industry benchmarks. AI engineers can access the model via its Hugging Face page for implementation in diverse NLP tasks.