NVIDIA NIM: Llama 3.1 70B Instruct
stableLlama 3.1 70B Instruct is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.
meta__llama-3.1-70b-instructllamareleased Jul 16, 2024
Context
128K
tokens
Max output
4.1K
tokens
Input
-
per 1M
Output
-
per 1M
Activity
Daily period usage
Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.
Providers
ProviderContextInput /MOutput /M
Pricing
| Item | Price | Unit |
|---|---|---|
| Input | - | per 1M tokens |
| Output | - | per 1M tokens |
Performance
Reliability
Compare
Compare usage and performance
Place this model beside up to three other catalog models.
Capabilities
Capabilities
Modalities
Input
Output
Details
- Model ID
- meta__llama-3.1-70b-instruct
- Family
- llama
- Status
- stable
- Knowledge
- -
- Released
- Jul 16, 2024
Gateway Config
- API
- 2024-01-01
- Auth
- NVIDIA_API_KEY
- Discovery
- static
- Provider type
- meta
Quick Start
index.ts
Endpoint
Base URL
https://integrate.api.nvidia.com/v1Chat completions
https://integrate.api.nvidia.com/v1/chat/completionsModel
meta__llama-3.1-70b-instructAuth env
NVIDIA_API_KEYLlama 3.1 70B Instruct FAQ
What is the context window of Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct accepts up to 128K tokens of context and returns up to 4.1K output tokens on NVIDIA NIM.
What can Llama 3.1 70B Instruct do?
Llama 3.1 70B Instruct supports chat and function calling. It accepts text input.
How do I call Llama 3.1 70B Instruct through Everstack?
Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @nvidia-nim/meta__llama-3.1-70b-instruct. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.
