LLM Reference
OctoAI API (Deprecated)

Using Llama 3.1 70B Instruct on OctoAI API (Deprecated)

Implementation guide · Llama 3.1 · AI at Meta

Open Weights

Quick Start

  1. 1
    Create an account at OctoAI API (Deprecated) and generate an API key.
  2. 2
    Use the OctoAI API (Deprecated) SDK or REST API to call llama3.1-70b-instruct.

Code Examples

Code examples for this provider have not been sourced yet.

About OctoAI API (Deprecated)

No public independent OctoAI API, model catalog, portal, documentation, or pricing surface was verified on the former OctoAI routes checked. Those routes redirect to NVIDIA’s general site; do not treat that site as a successor to the former OctoAI API.

OctoAI was a hosted inference platform for running third-party foundation models. OctoAI’s company profile states that NVIDIA acquired it in September 2024 and that it was dissolved as an independent corporate entity. This entry is retained only as historical provider coverage.

Pricing on OctoAI API (Deprecated)

Capabilities

Structured Outputs

About Llama 3.1 70B Instruct

The Llama 3.1 70B Instruct model is a cutting-edge large language model with 70 billion parameters, designed for instruction-following tasks. It features multilingual capabilities, supporting languages like English, German, French, and others. Fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), it excels in understanding and responding to user instructions. The model can handle a context length of up to 128k tokens, making it suitable for complex dialogue systems and applications requiring detailed responses. It outperforms many existing open-source and proprietary models on various industry benchmarks, making it ideal for conversational AI, content generation, and data synthesis tasks. For more details, visit the Hugging Face page [1].

Model Specs

Released2024-07-23
Parameters70B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

OctoAI API (Deprecated)
OctoAI API (Deprecated)

OctoAI (acquired by NVIDIA)

Seattle, Washington, United States