Using Llama 3 8B Instruct on OpenRouter
Implementation guide · Llama 3 · AI at Meta
Quick Start
- 1
- 2Use the OpenRouter SDK or REST API to call
meta-llama/llama-3-8b-instruct— see the documentation for request format. - 3
Code Examples
About OpenRouter
OpenRouter provides a unified interface for Large Language Models with better pricing, improved uptime, and no subscription requirements. Route across providers for cost optimization and reliability.
OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.
Pricing on OpenRouter
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.03 |
| Output tokens | $0.04 |
Capabilities
About Llama 3 8B Instruct
The Llama 3 8B Instruct model, released on April 18, 2024, is Meta's latest instruction-following language model with 8 billion parameters. It utilizes an auto-regressive transformer architecture with Grouped-Query Attention for improved scalability. Trained on over 15 trillion tokens and fine-tuned with 10 million human-annotated examples, it excels in dialogue and conversational tasks. The model outperforms its predecessors on industry benchmarks, scoring 68.4 on MMLU (5-shot). Designed for commercial and research applications, it prioritizes safety and helpfulness, making it suitable for chatbots, virtual assistants, and other interactive AI applications. For more details, visit the Hugging Face page [1].