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Hyperbolic AI Inference

Using Llama 3.1 8B Instruct on Hyperbolic AI Inference

Implementation guide · Llama 3.1 · AI at Meta

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Quick Start

  1. 1
    Create an account at Hyperbolic AI Inference and generate an API key.
  2. 2
    Use the Hyperbolic AI Inference SDK or REST API to call llama3.1-8b-instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input, $0.10/1M output tokens. See full pricing.

Code Examples

See Hyperbolic AI Inference documentation for integration details.

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

TypePrice (per 1M)
Input tokens$0.10
Output tokens$0.10

Capabilities

Structured Outputs

About Llama 3.1 8B Instruct

The Llama 3.1 8B Instruct model, released on July 23, 2024, is a multilingual large language model with 8 billion parameters, optimized for instruction-following tasks. It features an enhanced transformer architecture, supporting languages like English, German, French, and others. The model excels in dialogue applications, having been fine-tuned using supervised fine-tuning and reinforcement learning with human feedback. Trained on approximately 15 trillion tokens with a December 2023 data cutoff, it outperforms many existing open-source and closed chat models in various benchmarks. Ideal for commercial and research applications such as conversational agents and content generation, the model can be accessed on Hugging Face .

Model Specs

Released2024-07-23
Parameters8B
Context128K
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

Hyperbolic AI Inference
Hyperbolic AI Inference

Hyperbolic

Irvine, California, United States