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  3. Meta Llama 3.1 405b Instruct

Write and Reason with Meta Llama 3.1 405B Instruct

Meta Llama 3.1 405B Instruct is a 405-billion parameter language model from Meta, fine-tuned to follow complex instructions and hold multi-turn conversations. It handles the kind of tasks that used to require a team: drafting long documents, explaining dense topics in plain language, working through multi-step reasoning chains. If you have ever typed a question into a chat tool and gotten a shallow answer, this model is built to go deeper. It accepts a system prompt that sets the model's persona and context, so you can make it behave like a coding assistant, a document reviewer, or a subject-matter expert. You control temperature, top-p, and presence penalty to adjust how creative or focused the output is. With configurable token limits, it can return anything from a two-sentence summary to a full article draft. Drop it into any workflow that produces or processes text. Writers use it to get a first draft out in minutes. Marketers feed it a product description and get back copy variants. Developers pass it a code snippet and ask for a refactor or a review. It runs on Picasso IA without any setup, so you can send your first prompt right now.

Official

Meta

6.76m runs

Meta Llama 3.1 405b Instruct

2024-07-22

Commercial Use

Write and Reason with Meta Llama 3.1 405B Instruct

Table of contents

  • Overview
  • How It Works
  • Frequently Asked Questions
  • Credit Cost
  • Features
  • Use Cases
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Overview

Meta Llama 3.1 405B Instruct is one of the largest instruction-tuned language models available online, with 405 billion parameters trained on a broad corpus and fine-tuned for multi-turn conversation. You can run it on Picasso IA without installing anything or writing any code. Think of it as a text engine that can write, reason, summarize, translate, and respond to almost any well-phrased prompt. A freelance copywriter might use it to draft a campaign brief in minutes. A developer might use it to explain a confusing function. The scale of this model means it handles tasks where depth and nuance matter, producing answers that shorter models often flatten into generalities.

How It Works

  • Enter your prompt in the text field. This is the main instruction you want the model to follow, whether that is a question, a task, or a block of text to process.
  • Add a system prompt if you want to give the model a role or context rule, such as "Answer only with verified facts" or "You are a senior copywriter reviewing ad copy."
  • Set the temperature to a lower number for precise, consistent answers, or a higher number for more varied and creative outputs.
  • Adjust the maximum token limit to control response length. A short answer might need 100 tokens; a full article might need 1000 or more.
  • Click generate. The response appears within seconds. If it is not quite right, refine the prompt wording and run it again.

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open Meta Llama 3.1 405B Instruct on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? Yes, you can test the model on Picasso IA at no cost. Usage limits may apply depending on your account tier, but there is no barrier to sending your first prompt.

How long does it take to get results? Most responses appear within a few seconds. Longer outputs, such as full article drafts or detailed technical explanations, may take up to 15-20 seconds depending on the token limit you set.

What output formats are supported? The model returns plain text. You can paste it into any editor, document tool, CMS, or code environment you already use. There is no proprietary format to convert.

Can I customize the output quality or style? Yes. Temperature controls how predictable or varied the output is. Top-p narrows or widens the pool of words the model picks from. Frequency penalty reduces repetition across a long response.

How many times can I run the model? You can run it multiple times within your account's usage limits. There is no cap on how many prompts you can send in a single session.

Where can I use the outputs? Any text the model produces is yours to copy and use freely, in articles, emails, code comments, social posts, pitch decks, or any other written format.

Credit Cost

Each generation consumes 1 credit

1 credit

or 5 credits for 5 generations

Features

Everything this model can do for you

405B parameter scale

Handles multi-step reasoning and long-context tasks that smaller models routinely miss.

System prompt control

Set a persona, topic scope, or behavioral rule before the conversation starts.

Adjustable output style

Tune temperature, top-p, and frequency penalty to shift the output from focused to creative.

Token range control

Set minimum and maximum token limits to get responses as short or as long as the task needs.

Stop sequence support

Define custom strings that end generation at a precise point, useful for structured output.

No watermarks

Download or copy the full text output with no branding or attribution added.

Prompt templates

Apply a formatting wrapper to any prompt to match the model's expected input structure.

Fast, scalable, and reliable text generation

Use Cases

Write a detailed product description by giving the model the item name, target audience, and tone, and receive a polished copy block ready to paste

Send a long email thread and ask the model to summarize it into three bullet points and a recommended next step

Provide a code snippet with a bug and ask for a corrected version with an explanation of what was wrong

Set a custom system prompt to make the model act as a legal document reviewer, then feed it a contract to flag unusual clauses

Draft a full blog post outline and first section by describing the topic, target audience, and word count you need

Ask the model to translate a paragraph and adjust the register, for example from formal to casual, in the same run

Generate multiple variations of a marketing headline by changing the temperature setting and running the same prompt several times

Use it as a reasoning assistant by walking through a business decision step by step and asking it to list the tradeoffs and a recommendation

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