hermes-2-pro-mistral-7b Beta

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hermes-2-pro-mistral-7b Beta

Text Generation • nousresearch

@hf/nousresearch/hermes-2-pro-mistral-7b

Hermes 2 Pro on Mistral 7B is the new flagship 7B Hermes! Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.

• Function calling

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("@hf/nousresearch/hermes-2-pro-mistral-7b", {
      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("@hf/nousresearch/hermes-2-pro-mistral-7b", { 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/@hf/nousresearch/hermes-2-pro-mistral-7b",
    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/@hf/nousresearch/hermes-2-pro-mistral-7b \
  -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.

  • image one of
    • 0 array

      An array of integers that represent the image data constrained to 8-bit unsigned integer values

      • items number

        A value between 0 and 255

    • 1 string

      Binary string representing the image contents.

  • 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.

  • image one of
    • 0 array

      An array of integers that represent the image data constrained to 8-bit unsigned integer values

      • items number

        A value between 0 and 255

    • 1 string

      Binary string representing the image contents.

  • 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."
                },
                "image": {
                    "oneOf": [
                        {
                            "type": "array",
                            "description": "An array of integers that represent the image data constrained to 8-bit unsigned integer values",
                            "items": {
                                "type": "number",
                                "description": "A value between 0 and 255"
                            }
                        },
                        {
                            "type": "string",
                            "format": "binary",
                            "description": "Binary string representing the image contents."
                        }
                    ]
                },
                "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"
                        ]
                    }
                },
                "image": {
                    "oneOf": [
                        {
                            "type": "array",
                            "description": "An array of integers that represent the image data constrained to 8-bit unsigned integer values",
                            "items": {
                                "type": "number",
                                "description": "A value between 0 and 255"
                            }
                        },
                        {
                            "type": "string",
                            "format": "binary",
                            "description": "Binary string representing the image contents."
                        }
                    ]
                },
                "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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