llama-3.1-8b-instruct

llama-3.1-8b-instruct

Text Generation • Meta

@cf/meta/llama-3.1-8b-instruct

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.

Terms and License

Playground

Try out this model with Workers AI LLM Playground. It does not require any setup or authentication and an instant way to preview and test a model directly in the browser.

Launch the LLM Playground

Usage

Worker - Streaming

export interface Env {
  AI: Ai;
}

export default {
  async fetch(request, env): Promise<Response> {

    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<Env>;

Worker

export interface Env {
  AI: Ai;
}

export default {
  async fetch(request, env): Promise<Response> {

    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<Env>;

Python

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)

curl

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 .

Parameters

Input

• Prompt object
  • prompt string min 1 max 131072

    The input text prompt for the model to generate a response.

  • raw boolean

    If true, a chat template is not applied and you must adhere to the specific model's expected formatting.

  • stream boolean

    If true, the response will be streamed back incrementally using SSE, Server Sent Events.

  • max_tokens integer default 256

    The maximum number of tokens to generate in the response.

  • temperature number default 0.6 min 0 max 5

    Controls the randomness of the output; higher values produce more random results.

  • top_p number min 0 max 2

    Adjusts 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 min 1 max 50

    Limits 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 min 1 max 9999999999

    Random seed for reproducibility of the generation.

  • repetition_penalty number min 0 max 2

    Penalty for repeated tokens; higher values discourage repetition.

  • frequency_penalty number min 0 max 2

    Decreases the likelihood of the model repeating the same lines verbatim.

  • presence_penalty number min 0 max 2

    Increases the likelihood of the model introducing new topics.

  • lora string

    Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model.

• Messages object
  • messages array

    An array of message objects representing the conversation history.

    • items object
      • role string

        The role of the message sender (e.g., 'user', 'assistant', 'system', 'tool').

      • content string max 131072

        The content of the message as a string.

  • functions array
    • items object
      • name string

      • code string

  • tools array

    A list of tools available for the assistant to use.

    • items one of
      • 0 object
        • name string

          The name of the tool. More descriptive the better.

        • description string

          A brief description of what the tool does.

        • parameters object

          Schema defining the parameters accepted by the tool.

          • type string

            The type of the parameters object (usually 'object').

          • required array

            List of required parameter names.

            • items string

          • properties object

            Definitions of each parameter.

            • additionalProperties object
              • type string

                The data type of the parameter.

              • description string

                A description of the expected parameter.

      • 1 object
        • type string

          Specifies the type of tool (e.g., 'function').

        • function object

          Details of the function tool.

          • name string

            The name of the function.

          • description string

            A brief description of what the function does.

          • parameters object

            Schema defining the parameters accepted by the function.

            • type string

              The type of the parameters object (usually 'object').

            • required array

              List of required parameter names.

              • items string

            • properties object

              Definitions of each parameter.

              • additionalProperties object
                • type string

                  The data type of the parameter.

                • description string

                  A description of the expected parameter.

  • stream boolean

    If true, the response will be streamed back incrementally.

  • max_tokens integer default 256

    The maximum number of tokens to generate in the response.

  • temperature number default 0.6 min 0 max 5

    Controls the randomness of the output; higher values produce more random results.

  • top_p number min 0 max 2

    Controls the creativity of the AI's responses by adjusting how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.

  • top_k integer min 1 max 50

    Limits 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 min 1 max 9999999999

    Random seed for reproducibility of the generation.

  • repetition_penalty number min 0 max 2

    Penalty for repeated tokens; higher values discourage repetition.

  • frequency_penalty number min 0 max 2

    Decreases the likelihood of the model repeating the same lines verbatim.

  • presence_penalty number min 0 max 2

    Increases the likelihood of the model introducing new topics.

Output

• 0 object
  • response string

    The generated text response from the model

  • tool_calls array

    An array of tool calls requests made during the response generation

    • items object
      • arguments object

        The arguments passed to be passed to the tool call request

      • name string

        The name of the tool to be called

• 1 string

API Schemas

The following schemas are based on JSON Schema

Input

{
    "type": "object",
    "oneOf": [
        {
            "title": "Prompt",
            "properties": {
                "prompt": {
                    "type": "string",
                    "minLength": 1,
                    "maxLength": 131072,
                    "description": "The input text prompt for the model to generate a response."
                },
                "raw": {
                    "type": "boolean",
                    "default": false,
                    "description": "If true, a chat template is not applied and you must adhere to the specific model's expected formatting."
                },
                "stream": {
                    "type": "boolean",
                    "default": false,
                    "description": "If true, the response will be streamed back incrementally using SSE, Server Sent Events."
                },
                "max_tokens": {
                    "type": "integer",
                    "default": 256,
                    "description": "The maximum number of tokens to generate in the response."
                },
                "temperature": {
                    "type": "number",
                    "default": 0.6,
                    "minimum": 0,
                    "maximum": 5,
                    "description": "Controls the randomness of the output; higher values produce more random results."
                },
                "top_p": {
                    "type": "number",
                    "minimum": 0,
                    "maximum": 2,
                    "description": "Adjusts 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": {
                    "type": "integer",
                    "minimum": 1,
                    "maximum": 50,
                    "description": "Limits 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": {
                    "type": "integer",
                    "minimum": 1,
                    "maximum": 9999999999,
                    "description": "Random seed for reproducibility of the generation."
                },
                "repetition_penalty": {
                    "type": "number",
                    "minimum": 0,
                    "maximum": 2,
                    "description": "Penalty for repeated tokens; higher values discourage repetition."
                },
                "frequency_penalty": {
                    "type": "number",
                    "minimum": 0,
                    "maximum": 2,
                    "description": "Decreases the likelihood of the model repeating the same lines verbatim."
                },
                "presence_penalty": {
                    "type": "number",
                    "minimum": 0,
                    "maximum": 2,
                    "description": "Increases the likelihood of the model introducing new topics."
                },
                "lora": {
                    "type": "string",
                    "description": "Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base model."
                }
            },
            "required": [
                "prompt"
            ]
        },
        {
            "title": "Messages",
            "properties": {
                "messages": {
                    "type": "array",
                    "description": "An array of message objects representing the conversation history.",
                    "items": {
                        "type": "object",
                        "properties": {
                            "role": {
                                "type": "string",
                                "description": "The role of the message sender (e.g., 'user', 'assistant', 'system', 'tool')."
                            },
                            "content": {
                                "type": "string",
                                "maxLength": 131072,
                                "description": "The content of the message as a string."
                            }
                        },
                        "required": [
                            "role",
                            "content"
                        ]
                    }
                },
                "functions": {
                    "type": "array",
                    "items": {
                        "type": "object",
                        "properties": {
                            "name": {
                                "type": "string"
                            },
                            "code": {
                                "type": "string"
                            }
                        },
                        "required": [
                            "name",
                            "code"
                        ]
                    }
                },
                "tools": {
                    "type": "array",
                    "description": "A list of tools available for the assistant to use.",
                    "items": {
                        "type": "object",
                        "oneOf": [
                            {
                                "properties": {
                                    "name": {
                                        "type": "string",
                                        "description": "The name of the tool. More descriptive the better."
                                    },
                                    "description": {
                                        "type": "string",
                                        "description": "A brief description of what the tool does."
                                    },
                                    "parameters": {
                                        "type": "object",
                                        "description": "Schema defining the parameters accepted by the tool.",
                                        "properties": {
                                            "type": {
                                                "type": "string",
                                                "description": "The type of the parameters object (usually 'object')."
                                            },
                                            "required": {
                                                "type": "array",
                                                "description": "List of required parameter names.",
                                                "items": {
                                                    "type": "string"
                                                }
                                            },
                                            "properties": {
                                                "type": "object",
                                                "description": "Definitions of each parameter.",
                                                "additionalProperties": {
                                                    "type": "object",
                                                    "properties": {
                                                        "type": {
                                                            "type": "string",
                                                            "description": "The data type of the parameter."
                                                        },
                                                        "description": {
                                                            "type": "string",
                                                            "description": "A description of the expected parameter."
                                                        }
                                                    },
                                                    "required": [
                                                        "type",
                                                        "description"
                                                    ]
                                                }
                                            }
                                        },
                                        "required": [
                                            "type",
                                            "properties"
                                        ]
                                    }
                                },
                                "required": [
                                    "name",
                                    "description",
                                    "parameters"
                                ]
                            },
                            {
                                "properties": {
                                    "type": {
                                        "type": "string",
                                        "description": "Specifies the type of tool (e.g., 'function')."
                                    },
                                    "function": {
                                        "type": "object",
                                        "description": "Details of the function tool.",
                                        "properties": {
                                            "name": {
                                                "type": "string",
                                                "description": "The name of the function."
                                            },
                                            "description": {
                                                "type": "string",
                                                "description": "A brief description of what the function does."
                                            },
                                            "parameters": {
                                                "type": "object",
                                                "description": "Schema defining the parameters accepted by the function.",
                                                "properties": {
                                                    "type": {
                                                        "type": "string",
                                                        "description": "The type of the parameters object (usually 'object')."
                                                    },
                                                    "required": {
                                                        "type": "array",
                                                        "description": "List of required parameter names.",
                                                        "items": {
                                                            "type": "string"
                                                        }
                                                    },
                                                    "properties": {
                                                        "type": "object",
                                                        "description": "Definitions of each parameter.",
                                                        "additionalProperties": {
                                                            "type": "object",
                                                            "properties": {
                                                                "type": {
                                                                    "type": "string",
                                                                    "description": "The data type of the parameter."
                                                                },
                                                                "description": {
                                                                    "type": "string",
                                                                    "description": "A description of the expected parameter."
                                                                }
                                                            },
                                                            "required": [
                                                                "type",
                                                                "description"
                                                            ]
                                                        }
                                                    }
                                                },
                                                "required": [
                                                    "type",
                                                    "properties"
                                                ]
                                            }
                                        },
                                        "required": [
                                            "name",
                                            "description",
                                            "parameters"
                                        ]
                                    }
                                },
                                "required": [
                                    "type",
                                    "function"
                                ]
                            }
                        ]
                    }
                },
                "stream": {
                    "type": "boolean",
                    "default": false,
                    "description": "If true, the response will be streamed back incrementally."
                },
                "max_tokens": {
                    "type": "integer",
                    "default": 256,
                    "description": "The maximum number of tokens to generate in the response."
                },
                "temperature": {
                    "type": "number",
                    "default": 0.6,
                    "minimum": 0,
                    "maximum": 5,
                    "description": "Controls the randomness of the output; higher values produce more random results."
                },
                "top_p": {
                    "type": "number",
                    "minimum": 0,
                    "maximum": 2,
                    "description": "Controls the creativity of the AI's responses by adjusting how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses."
                },
                "top_k": {
                    "type": "integer",
                    "minimum": 1,
                    "maximum": 50,
                    "description": "Limits 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": {
                    "type": "integer",
                    "minimum": 1,
                    "maximum": 9999999999,
                    "description": "Random seed for reproducibility of the generation."
                },
                "repetition_penalty": {
                    "type": "number",
                    "minimum": 0,
                    "maximum": 2,
                    "description": "Penalty for repeated tokens; higher values discourage repetition."
                },
                "frequency_penalty": {
                    "type": "number",
                    "minimum": 0,
                    "maximum": 2,
                    "description": "Decreases the likelihood of the model repeating the same lines verbatim."
                },
                "presence_penalty": {
                    "type": "number",
                    "minimum": 0,
                    "maximum": 2,
                    "description": "Increases the likelihood of the model introducing new topics."
                }
            },
            "required": [
                "messages"
            ]
        }
    ]
}

Output

{
    "oneOf": [
        {
            "type": "object",
            "contentType": "application/json",
            "properties": {
                "response": {
                    "type": "string",
                    "description": "The generated text response from the model"
                },
                "tool_calls": {
                    "type": "array",
                    "description": "An array of tool calls requests made during the response generation",
                    "items": {
                        "type": "object",
                        "properties": {
                            "arguments": {
                                "type": "object",
                                "description": "The arguments passed to be passed to the tool call request"
                            },
                            "name": {
                                "type": "string",
                                "description": "The name of the tool to be called"
                            }
                        }
                    }
                }
            }
        },
        {
            "type": "string",
            "contentType": "text/event-stream",
            "format": "binary"
        }
    ]
}

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