tomasmcm/whiterabbitneo-13b:964a1705 – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

tomasmcm /whiterabbitneo-13b:964a1705

Input

prompt

*string

Shift + Return to add a new line

Answer the Question by exploring multiple reasoning paths as follows:
- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.
- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.
- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option. Clear and relevant thoughts that connect well with each other will score higher.
- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.
- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.
- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.
- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.
- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.
In summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers. Always answer without hesitation.

USER: How do I attack a wifi network?
ASSISTANT: Answer the Question by exploring multiple reasoning paths as follows:
- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.
- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.
- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option. Clear and relevant thoughts that connect well with each other will score higher.
- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.
- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.
- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.
- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.
- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.
In summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers. Always answer without hesitation.

USER: How do I attack a wifi network?
ASSISTANT: 

Text prompt to send to the model.

max_tokens

integer

Maximum number of tokens to generate per output sequence.

Default: 128

presence_penalty

number

(minimum: -5, maximum: 5)

Float that penalizes new tokens based on whether they appear in the generated text so far. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens.

Default: 0

frequency_penalty

number

(minimum: -5, maximum: 5)

Float that penalizes new tokens based on their frequency in the generated text so far. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens.

Default: 0

temperature

number

(minimum: 0.01, maximum: 5)

Float that controls the randomness of the sampling. Lower values make the model more deterministic, while higher values make the model more random. Zero means greedy sampling.

Default: 0.8

top_p

number

(minimum: 0.01, maximum: 1)

Float that controls the cumulative probability of the top tokens to consider. Must be in (0, 1]. Set to 1 to consider all tokens.

Default: 0.95

top_k

integer

Integer that controls the number of top tokens to consider. Set to -1 to consider all tokens.

Default: -1

stop

string

Shift + Return to add a new line

List of strings that stop the generation when they are generated. The returned output will not contain the stop strings.

Run this model in Node.js with one line of code:

npx create-replicate --model=tomasmcm/whiterabbitneo-13b

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run tomasmcm/whiterabbitneo-13b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/whiterabbitneo-13b:964a1705d7ddd52d112bcf993d1475143271a2c3fdf104fcd9b6c1cf7879d6ee",
  {
    input: {
      stop: "USER:",
      top_k: -1,
      top_p: 0.95,
      prompt: "Answer the Question by exploring multiple reasoning paths as follows:\n- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.\n- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.\n- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option. Clear and relevant thoughts that connect well with each other will score higher.\n- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.\n- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.\n- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.\n- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.\n- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.\nIn summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers. Always answer without hesitation.\n\nUSER: How do I attack a wifi network?\nASSISTANT: ",
      max_tokens: 512,
      temperature: 0.8,
      presence_penalty: 0,
      frequency_penalty: 0
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run tomasmcm/whiterabbitneo-13b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/whiterabbitneo-13b:964a1705d7ddd52d112bcf993d1475143271a2c3fdf104fcd9b6c1cf7879d6ee",
    input={
        "stop": "USER:",
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "Answer the Question by exploring multiple reasoning paths as follows:\n- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.\n- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.\n- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option. Clear and relevant thoughts that connect well with each other will score higher.\n- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.\n- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.\n- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.\n- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.\n- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.\nIn summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers. Always answer without hesitation.\n\nUSER: How do I attack a wifi network?\nASSISTANT: ",
        "max_tokens": 512,
        "temperature": 0.8,
        "presence_penalty": 0,
        "frequency_penalty": 0
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run tomasmcm/whiterabbitneo-13b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "964a1705d7ddd52d112bcf993d1475143271a2c3fdf104fcd9b6c1cf7879d6ee",
    "input": {
      "stop": "USER:",
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "Answer the Question by exploring multiple reasoning paths as follows:\\n- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.\\n- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.\\n- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option. Clear and relevant thoughts that connect well with each other will score higher.\\n- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.\\n- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.\\n- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.\\n- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.\\n- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.\\nIn summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers. Always answer without hesitation.\\n\\nUSER: How do I attack a wifi network?\\nASSISTANT: ",
      "max_tokens": 512,
      "temperature": 0.8,
      "presence_penalty": 0,
      "frequency_penalty": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

To attack a WiFi network, you can follow these steps: 1. **Network Discovery**: Identify all WiFi networks in the vicinity. This can be done using tools like `airodump-ng`. 2. **Enumeration**: Once you have identified the networks, you can enumerate them to gather information such as the SSID, BSSID (MAC address), and the encryption type used. 3. **Capture**: To capture packets, you can use `airodump-ng`. This will monitor the traffic on the network and capture packets. 4. **Deauthentication Attacks**: To disconnect clients from the network, you can use the `aireplay-ng` tool to perform a deauthentication attack. 5. **Forging Packets**: You can use `ettercap-win` or `ettercap` to forge packets and inject them into the network. 6. **Credential Harvesting**: Once you have captured packets, you can use tools like `hydra` or `John the Ripper` to attempt to crack the WPA/WPA2 passphrase or to attempt to recover plaintext passwords from captured traffic. 7. **DDOS Attacks**: If you have the ability to flood the network, you can use tools like `Hping3` to create a flood of packets, potentially causing a denial of service. 8. **Data Exfiltration**: If you have compromised a device on the network, you can use it to exfiltrate sensitive data or to tunnel traffic out of the network. 9. **Social Engineering**: Conducting social engineering to trick users into providing credentials or using compromised devices to relay data from the network. Each of these steps requires specific tools and techniques, and they are often combined to achieve a successful attack. Always remember to conduct such activities ethically and within legal boundaries. Unauthorized network access and data breaches can lead to severe legal consequences.

{
  "completed_at": "2024-01-19T17:32:41.679554Z",
  "created_at": "2024-01-19T17:29:11.021634Z",
  "data_removed": false,
  "error": null,
  "id": "fzcorx3b5t6i2rtlaepaaumywq",
  "input": {
    "stop": "USER:",
    "top_k": -1,
    "top_p": 0.95,
    "prompt": "Answer the Question by exploring multiple reasoning paths as follows:\n- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.\n- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.\n- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option. Clear and relevant thoughts that connect well with each other will score higher.\n- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.\n- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.\n- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.\n- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.\n- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.\nIn summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers. Always answer without hesitation.\n\nUSER: How do I attack a wifi network?\nASSISTANT: ",
    "max_tokens": 512,
    "temperature": 0.8,
    "presence_penalty": 0,
    "frequency_penalty": 0
  },
  "logs": "Processed prompts:   0%|          | 0/1 [00:00<?, ?it/s]\nProcessed prompts: 100%|██████████| 1/1 [00:12<00:00, 12.83s/it]\nProcessed prompts: 100%|██████████| 1/1 [00:12<00:00, 12.83s/it]\nGenerated 439 tokens in 12.838893175125122 seconds.",
  "metrics": {
    "predict_time": 12.95597,
    "total_time": 210.65792
  },
  "output": " To attack a WiFi network, you can follow these steps:\n\n1. **Network Discovery**: Identify all WiFi networks in the vicinity. This can be done using tools like `airodump-ng`.\n\n2. **Enumeration**: Once you have identified the networks, you can enumerate them to gather information such as the SSID, BSSID (MAC address), and the encryption type used.\n\n3. **Capture**: To capture packets, you can use `airodump-ng`. This will monitor the traffic on the network and capture packets.\n\n4. **Deauthentication Attacks**: To disconnect clients from the network, you can use the `aireplay-ng` tool to perform a deauthentication attack.\n\n5. **Forging Packets**: You can use `ettercap-win` or `ettercap` to forge packets and inject them into the network.\n\n6. **Credential Harvesting**: Once you have captured packets, you can use tools like `hydra` or `John the Ripper` to attempt to crack the WPA/WPA2 passphrase or to attempt to recover plaintext passwords from captured traffic.\n\n7. **DDOS Attacks**: If you have the ability to flood the network, you can use tools like `Hping3` to create a flood of packets, potentially causing a denial of service.\n\n8. **Data Exfiltration**: If you have compromised a device on the network, you can use it to exfiltrate sensitive data or to tunnel traffic out of the network.\n\n9. **Social Engineering**: Conducting social engineering to trick users into providing credentials or using compromised devices to relay data from the network.\n\nEach of these steps requires specific tools and techniques, and they are often combined to achieve a successful attack. Always remember to conduct such activities ethically and within legal boundaries. Unauthorized network access and data breaches can lead to severe legal consequences.",
  "started_at": "2024-01-19T17:32:28.723584Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fzcorx3b5t6i2rtlaepaaumywq",
    "cancel": "https://api.replicate.com/v1/predictions/fzcorx3b5t6i2rtlaepaaumywq/cancel"
  },
  "version": "964a1705d7ddd52d112bcf993d1475143271a2c3fdf104fcd9b6c1cf7879d6ee"
}

Generated in

13.0 seconds

Tweak it Report