Prediction

Model

01-ai/yi-34b:d83ccf09

r7rbtl3brdn6sg3mw6jldtqm2i

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

4.7s

Created

about 2 years ago

Webhook

–

Input

prompt: Some great names for dogs are:
max_new_tokens: 128
temperature: 0.8
top_p: 0.95
top_k: 50
presence_penalty: 0
frequency_penalty: 0
prompt_template: {prompt}

{
  "frequency_penalty": 0,
  "max_new_tokens": 128,
  "presence_penalty": 0,
  "prompt": "Some great names for dogs are:",
  "prompt_template": "{prompt}",
  "temperature": 0.8,
  "top_k": 50,
  "top_p": 0.95
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_CaJ**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";

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

Run 01-ai/yi-34b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "01-ai/yi-34b:d83ccf090ccd5c7fe507ca302a558a850468293385d02bb807ee2753d802dd85",
  {
    input: {
      frequency_penalty: 0,
      max_new_tokens: 128,
      presence_penalty: 0,
      prompt: "Some great names for dogs are:",
      prompt_template: "{prompt}",
      temperature: 0.8,
      top_k: 50,
      top_p: 0.95
    }
  }
);

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=r8_CaJ**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run 01-ai/yi-34b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "01-ai/yi-34b:d83ccf090ccd5c7fe507ca302a558a850468293385d02bb807ee2753d802dd85",
    input={
        "frequency_penalty": 0,
        "max_new_tokens": 128,
        "presence_penalty": 0,
        "prompt": "Some great names for dogs are:",
        "prompt_template": "{prompt}",
        "temperature": 0.8,
        "top_k": 50,
        "top_p": 0.95
    }
)

# The 01-ai/yi-34b model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/01-ai/yi-34b/api#output-schema
    print(item, end="")

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=r8_CaJ**********************************

This is your API token. Keep it to yourself.

Run 01-ai/yi-34b 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": "01-ai/yi-34b:d83ccf090ccd5c7fe507ca302a558a850468293385d02bb807ee2753d802dd85",
    "input": {
      "frequency_penalty": 0,
      "max_new_tokens": 128,
      "presence_penalty": 0,
      "prompt": "Some great names for dogs are:",
      "prompt_template": "{prompt}",
      "temperature": 0.8,
      "top_k": 50,
      "top_p": 0.95
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output


1.Lobo
2.Santana
3.Juice
4.Pearl
5.Pepper
6.Cash
7.Jager
8.Beer
9.Jack
10.Lucky
11.Beau
12.Boo
13.Dude
14.Cocoa
15.Piggy
16.Gypsy
17.Mocha
18.Lucy
19.Bud
20.Chi
21.ChiChi
22.M

{
  "id": "r7rbtl3brdn6sg3mw6jldtqm2i",
  "model": "01-ai/yi-34b",
  "version": "d83ccf090ccd5c7fe507ca302a558a850468293385d02bb807ee2753d802dd85",
  "input": {
    "frequency_penalty": 0,
    "max_new_tokens": 128,
    "presence_penalty": 0,
    "prompt": "Some great names for dogs are:",
    "prompt_template": "{prompt}",
    "temperature": 0.8,
    "top_k": 50,
    "top_p": 0.95
  },
  "logs": "Generated 128 tokens in 4.597692012786865 seconds.",
  "output": [
    "\n",
    "1",
    ".",
    "L",
    "obo",
    "\n",
    "2",
    ".",
    "S",
    "ant",
    "ana",
    "\n",
    "3",
    ".",
    "J",
    "u",
    "ice",
    "\n",
    "4",
    ".",
    "P",
    "ear",
    "l",
    "\n",
    "5",
    ".",
    "Pe",
    "pper",
    "\n",
    "6",
    ".",
    "C",
    "ash",
    "\n",
    "7",
    ".",
    "J",
    "ager",
    "\n",
    "8",
    ".",
    "Be",
    "er",
    "\n",
    "9",
    ".",
    "Jack",
    "\n",
    "1",
    "0",
    ".",
    "L",
    "ucky",
    "\n",
    "1",
    "1",
    ".",
    "Be",
    "au",
    "\n",
    "1",
    "2",
    ".",
    "B",
    "oo",
    "\n",
    "1",
    "3",
    ".",
    "D",
    "ude",
    "\n",
    "1",
    "4",
    ".",
    "C",
    "ocoa",
    "\n",
    "1",
    "5",
    ".",
    "P",
    "ig",
    "gy",
    "\n",
    "1",
    "6",
    ".",
    "G",
    "y",
    "psy",
    "\n",
    "1",
    "7",
    ".",
    "M",
    "ocha",
    "\n",
    "1",
    "8",
    ".",
    "Lu",
    "cy",
    "\n",
    "1",
    "9",
    ".",
    "B",
    "ud",
    "\n",
    "2",
    "0",
    ".",
    "Ch",
    "i",
    "\n",
    "2",
    "1",
    ".",
    "Ch",
    "i",
    "Ch",
    "i",
    "\n",
    "2",
    "2",
    ".",
    "M"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-11-14T20:40:26.645336Z",
  "started_at": "2023-11-14T20:40:26.687032Z",
  "completed_at": "2023-11-14T20:40:31.355627Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/r7rbtl3brdn6sg3mw6jldtqm2i/cancel",
    "get": "https://api.replicate.com/v1/predictions/r7rbtl3brdn6sg3mw6jldtqm2i"
  },
  "metrics": {
    "predict_time": 4.668595,
    "total_time": 4.710291
  }
}

Generated in

4.7 seconds

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