LLM Reference
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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Hyperbolic AI Inference exposes Llama 3.1 8B Instruct through model ID llama3.1-8b-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. Next refresh: weekly.

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.

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.

Model Specs

Released2024-07-23
Parameters8B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

Hyperbolic AI Inference
Hyperbolic AI Inference

Hyperbolic

Irvine, California, United States