Meta: Llama v2 13B Chat

meta-llama/llama-2-13b-chat

Updated Jun 204,096 context

$0.198/M input tokens$0.198/M output tokens

A 13 billion parameter language model from Meta, fine tuned for chat completions

Providers for Llama v2 13B Chat

OpenRouter load-balances requests across providers weighted by price unless you use dynamic routing.

Apps using Llama v2 13B Chat

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Sample code and API for Llama v2 13B Chat

OpenRouter normalizes requests and responses across providers for you.

To get started, you can use Llama v2 13B Chat 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-2-13b-chat",
    "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-2-13b-chat",
    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.