Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases.
It has demonstrated strong performance compared to leading closed-source models in human evaluations.
Usage of this model is subject to Meta's Acceptable Use Policy.
To get started, you can use Llama 3 70B Instruct via API like this:
fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
"Authorization": `Bearer ${OPENROUTER_API_KEY}`,
"HTTP-Referer": `${YOUR_SITE_URL}`, // Optional, for including your app on openrouter.ai rankings.
"X-Title": `${YOUR_SITE_NAME}`, // Optional. Shows in rankings on openrouter.ai.
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "meta-llama/llama-3-70b-instruct",
"messages": [
{
"role": "user",
"content": "What is the meaning of life?"
}
]
})
});You can also use OpenRouter with OpenAI's client API:
import OpenAI from "openai"
const openai = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: $OPENROUTER_API_KEY,
defaultHeaders: {
"HTTP-Referer": $YOUR_SITE_URL, // Optional, for including your app on openrouter.ai rankings.
"X-Title": $YOUR_SITE_NAME, // Optional. Shows in rankings on openrouter.ai.
}
})
async function main() {
const completion = await openai.chat.completions.create({
model: "meta-llama/llama-3-70b-instruct",
messages: [
{
"role": "user",
"content": "What is the meaning of life?"
}
]
})
console.log(completion.choices[0].message)
}
main()See the Request docs for all possible parameters, and Parameters for recommended values.