Meta Llama

Meta Llama: Meta Llama 3 8B Instruct Lite

meta-llama/meta-llama-3-8b-instruct-lite

Access Meta Llama 3 8B Instruct Lite from Meta Llama using Puter.js AI API.

Get Started 
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "meta-llama/meta-llama-3-8b-instruct-lite"
}).then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "meta-llama/meta-llama-3-8b-instruct-lite"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="meta-llama/meta-llama-3-8b-instruct-lite",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "meta-llama/meta-llama-3-8b-instruct-lite",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Meta Llama 3 8B Instruct Lite is a cost-optimized serving tier for Meta's Llama 3 8B Instruct, an 8-billion-parameter open-weight chat model pretrained on over 15 trillion tokens.

Despite its small size, it delivers strong reasoning, coding, and general-purpose conversation. On published benchmarks it scores around 67.4 on MMLU, 79.6% on GSM8K math, and 62.2% on HumanEval coding, making it highly competitive among models in its tier.

The Lite tier offers the same quality at a lower per-token price, making it a great fit for developers who need fast, affordable responses for chat assistants, summarization, classification, and lightweight coding tasks at scale.

Context Window 8K

tokens

Max Output 8K

tokens

Input Cost $0.14

per million tokens

Output Cost $0.14

per million tokens

Input text

modalities

Knowledge Cutoff Mar 2023

 

Release Date Apr 18, 2024

 

Model Playground

Try Meta Llama 3 8B Instruct Lite instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

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Frequently Asked Questions

How do I use Meta Llama 3 8B Instruct Lite?

You can access Meta Llama 3 8B Instruct Lite by Meta Llama through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Meta Llama 3 8B Instruct Lite free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Meta Llama 3 8B Instruct Lite to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Meta Llama 3 8B Instruct Lite?
Meta Llama 3 8B Instruct Lite costs $0.14 per 1M input tokens and $0.14 per 1M output tokens.
Price per 1M tokens
Input$0.14
Output$0.14
Who created Meta Llama 3 8B Instruct Lite?

Meta Llama 3 8B Instruct Lite was created by Meta Llama and released on Apr 18, 2024.

What is the context window of Meta Llama 3 8B Instruct Lite?

Meta Llama 3 8B Instruct Lite supports a context window of 8K tokens. For reference, that is roughly equivalent to 16 pages of text.

What is the max output length of Meta Llama 3 8B Instruct Lite?

Meta Llama 3 8B Instruct Lite can generate up to 8K tokens in a single response.

What is the knowledge cutoff of Meta Llama 3 8B Instruct Lite?

Meta Llama 3 8B Instruct Lite has a knowledge cutoff date of Mar 2023. This means the model was trained on data available up to that date.

What types of input can Meta Llama 3 8B Instruct Lite process?

Meta Llama 3 8B Instruct Lite accepts the following input types: text. It produces: text.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Meta Llama 3 8B Instruct Lite API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add Meta Llama 3 8B Instruct Lite to your app without worrying about API keys or setup.

Read the Docs View Tutorials