tomasmcm / loyal-piano-m7

Source: chargoddard/loyal-piano-m7 ✦ Quant: TheBloke/loyal-piano-m7-AWQ ✦ Intended to be a roleplay-focused model with some smarts and good long-context recall

Cold

Public
43 runs
L40S
Paper
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Prediction

tomasmcm/loyal-piano-m7:9b8a8331a9acf321e137c87e8378c3f1839ab6ee11c3bd338ea326c2c5a69e85

Model

tomasmcm/loyal-piano-m7:9b8a8331

m4pnculbjihsgvtic5xir6lyhi

Status

Succeeded

Source

Web

Hardware

A40

Total duration

1.6s

Created

over 1 year ago

Input

stop: [INST]
top_k: -1
top_p: 0.95
prompt: <s>[INST] What is your favourite condiment? [/INST]
max_tokens: 128
temperature: 0.8
presence_penalty: 0
frequency_penalty: 0

{
  "stop": "[INST]",
  "top_k": -1,
  "top_p": 0.95,
  "prompt": "<s>[INST] What is your favourite condiment? [/INST]",
  "max_tokens": 128,
  "temperature": 0.8,
  "presence_penalty": 0,
  "frequency_penalty": 0
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run tomasmcm/loyal-piano-m7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tomasmcm/loyal-piano-m7:9b8a8331a9acf321e137c87e8378c3f1839ab6ee11c3bd338ea326c2c5a69e85",
  {
    input: {
      stop: "[INST]",
      top_k: -1,
      top_p: 0.95,
      prompt: "<s>[INST] What is your favourite condiment? [/INST]",
      max_tokens: 128,
      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

Import the client:

import replicate

Run tomasmcm/loyal-piano-m7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tomasmcm/loyal-piano-m7:9b8a8331a9acf321e137c87e8378c3f1839ab6ee11c3bd338ea326c2c5a69e85",
    input={
        "stop": "[INST]",
        "top_k": -1,
        "top_p": 0.95,
        "prompt": "<s>[INST] What is your favourite condiment? [/INST]",
        "max_tokens": 128,
        "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.

Run tomasmcm/loyal-piano-m7 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": "tomasmcm/loyal-piano-m7:9b8a8331a9acf321e137c87e8378c3f1839ab6ee11c3bd338ea326c2c5a69e85",
    "input": {
      "stop": "[INST]",
      "top_k": -1,
      "top_p": 0.95,
      "prompt": "<s>[INST] What is your favourite condiment? [/INST]",
      "max_tokens": 128,
      "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

My favorite condiment is mayonnaise. I love how it adds a creamy texture and rich flavor to sandwiches, salads, and other dishes. It's versatile and can be used in both sweet and savory recipes. Plus, it's just delicious on its own!

Generated in

1.6 seconds

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