Llama 3 8B Lunaris

sao10k/l3-lunaris-8b

Updated Aug 138,192 context

$2/M input tokens$2/M output tokens

Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with improved logic and general knowledge.

Created by Sao10k, this model aims to offer an improved experience over Stheno v3.2, with enhanced creativity and logical reasoning.

For best results, use with Llama 3 Instruct context template, temperature 1.4, and min_p 0.1.

Providers for Llama 3 8B Lunaris

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

Apps using Llama 3 8B Lunaris

Top public apps this week using this model

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Uptime stats for Llama 3 8B Lunaris across all providers

Sample code and API for Llama 3 8B Lunaris

OpenRouter normalizes requests and responses across providers for you.

To get started, you can use Llama 3 8B Lunaris 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": "sao10k/l3-lunaris-8b",
    "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: "sao10k/l3-lunaris-8b",
    messages: [
      { role: "user", content: "Say this is a test" }
    ],
  })

  console.log(completion.choices[0].message)
}
main()

See the Request docs for all possible parameters, and Parameters for recommended values.