--- description: The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models. The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. title: llama-3.1-8b-instruct image: https://developers.cloudflare.com/og-docs.png --- [Skip to content](#main-content) > Documentation Index > Fetch the complete documentation index at: https://developers.cloudflare.com/llms.txt > Use this file to discover all available pages before exploring further. ![Meta logo](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/_astro/meta.CTzB_ysm.svg) # llama-3.1-8b-instruct Text Generation • Meta Copy as Markdown|[View as Markdown](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/workers-ai/models/llama-3.1-8b-instruct/index.md)|[Agent setup](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/agent-setup/) `@cf/meta/llama-3.1-8b-instruct` * Cloudflare-hosted * Deprecated The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models. The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. | Model Info | | | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- | | Deprecated | 5/30/2026 | | Context Window[ ↗](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/workers-ai/platform/glossary/) | 7,968 tokens | | Terms and License | [link ↗](https://github.com/meta-llama/llama-models/blob/main/models/llama3%5F1/LICENSE) | | Unit Pricing | $0.28 per M input tokens, $0.83 per M output tokens | ## Playground Try out this model with Workers AI LLM Playground. It does not require any setup or authentication and is an instant way to preview and test a model directly in the browser. [Launch the LLM Playground](https://playground.ai.cloudflare.com/?model=@cf/meta/llama-3.1-8b-instruct) ## Usage ```ts export interface Env { AI: Ai; } export default { async fetch(request, env): Promise { const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const stream = await env.AI.run("@cf/meta/llama-3.1-8b-instruct", { messages, stream: true, }); return new Response(stream, { headers: { "content-type": "text/event-stream" }, }); }, } satisfies ExportedHandler; ``` ```ts export interface Env { AI: Ai; } export default { async fetch(request, env): Promise { const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const response = await env.AI.run("@cf/meta/llama-3.1-8b-instruct", { messages }); return Response.json(response); }, } satisfies ExportedHandler; ``` ```py import os import requests ACCOUNT_ID = "your-account-id" AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN") prompt = "Tell me all about PEP-8" response = requests.post( f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/meta/llama-3.1-8b-instruct", headers={"Authorization": f"Bearer {AUTH_TOKEN}"}, json={ "messages": [ {"role": "system", "content": "You are a friendly assistant"}, {"role": "user", "content": prompt} ] } ) result = response.json() print(result) ``` ```sh curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/meta/llama-3.1-8b-instruct \ -X POST \ -H "Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN" \ -d '{ "messages": [{ "role": "system", "content": "You are a friendly assistant" }, { "role": "user", "content": "Why is pizza so good" }]}' ``` OpenAI compatible endpoints Workers AI also supports OpenAI compatible API endpoints for `/v1/chat/completions` and `/v1/embeddings`. For more details, refer to [Configurations](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/workers-ai/configuration/open-ai-compatibility/). ## Parameters ### Input prompt `string`requiredminLength: 1The input text prompt for the model to generate a response. lora `string`Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model. ▶response\_format{} `object` raw `boolean`default: falseIf true, a chat template is not applied and you must adhere to the specific model's expected formatting. stream `boolean`default: falseIf true, the response will be streamed back incrementally using SSE, Server Sent Events. max\_tokens `integer`default: 256The maximum number of tokens to generate in the response. temperature `number`default: 0.6minimum: 0maximum: 5Controls the randomness of the output; higher values produce more random results. top\_p `number`minimum: 0maximum: 2Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses. top\_k `integer`minimum: 1maximum: 50Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises. seed `integer`minimum: 1maximum: 9999999999Random seed for reproducibility of the generation. repetition\_penalty `number`minimum: 0maximum: 2Penalty for repeated tokens; higher values discourage repetition. frequency\_penalty `number`minimum: 0maximum: 2Decreases the likelihood of the model repeating the same lines verbatim. presence\_penalty `number`minimum: 0maximum: 2Increases the likelihood of the model introducing new topics. ### Output Synchronous — Send a request and receive a complete response response `string`The generated text response from the model ▶usage{} `object`Usage statistics for the inference request ▶tool\_calls\[\] `array`An array of tool calls requests made during the response generation Streaming — Send a request with \`stream: true\` and receive server-sent events type `string` format `binary` ## API Schemas (Raw) SynchronousInput SynchronousOutput StreamingInput StreamingOutput Was this helpful? YesNo ## On this page [![](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/_astro/logo.te5VL_aD.svg)Docs](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/) ```json {"@context":"https://schema.org","@type":"TechArticle","@id":"https://developers.cloudflare.com/workers-ai/models/llama-3.1-8b-instruct/#page","headline":"llama-3.1-8b-instruct (Meta) · Cloudflare AI docs · Cloudflare Workers AI docs","description":"The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models. 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