andreasjansson/codellama-34b-instruct-gguf:1ed692e4

Version

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andreasjansson /codellama-34b-instruct-gguf:1ed692e4

Playground API

Input

prompt

*string

Shift + Return to add a new line

Prompt

grammar

string

Shift + Return to add a new line

Grammar in GBNF format. Use either grammar or jsonschema.

jsonschema

string

Shift + Return to add a new line

JSON schema for the generated output. Use either grammar or jsonschema.

max_tokens

integer

Max number of tokens to return

Default: 500

temperature

number

Temperature

Default: 0.8

top_p

number

Top P

Default: 0.95

top_k

number

Top K

Default: 10

frequency_penalty

number

(minimum: 0, maximum: 2)

Frequency penalty

Default: 0

presence_penalty

number

(minimum: 0, maximum: 2)

Presence

Default: 0

repeat_penalty

number

(minimum: 0, maximum: 2)

Repetition penalty

Default: 1.1

mirostat_mode

string

Mirostat sampling mode

Default: "Disabled"

mirostat_learning_rate

number

(minimum: 0, maximum: 1)

Mirostate learning rate, if mirostat_mode is not Disabled

Default: 0.1

mirostat_entropy

number

(minimum: 0, maximum: 10)

Mirostat target entropy

Default: 5

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

npx create-replicate --model=andreasjansson/codellama-34b-instruct-gguf

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 andreasjansson/codellama-34b-instruct-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "andreasjansson/codellama-34b-instruct-gguf:1ed692e424acdf3301719be51404611c70e4b99a43b9b0e65b56460490684cac",
  {
    input: {
      top_k: 10,
      top_p: 0.95,
      max_tokens: 500,
      temperature: 0.8,
      mirostat_mode: "Disabled",
      repeat_penalty: 1.1,
      mirostat_entropy: 5,
      presence_penalty: 0,
      frequency_penalty: 0,
      mirostat_learning_rate: 0.1
    }
  }
);

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 andreasjansson/codellama-34b-instruct-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/codellama-34b-instruct-gguf:1ed692e424acdf3301719be51404611c70e4b99a43b9b0e65b56460490684cac",
    input={
        "top_k": 10,
        "top_p": 0.95,
        "max_tokens": 500,
        "temperature": 0.8,
        "mirostat_mode": "Disabled",
        "repeat_penalty": 1.1,
        "mirostat_entropy": 5,
        "presence_penalty": 0,
        "frequency_penalty": 0,
        "mirostat_learning_rate": 0.1
    }
)

# The andreasjansson/codellama-34b-instruct-gguf 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/andreasjansson/codellama-34b-instruct-gguf/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=<paste-your-token-here>

Find your API token in your account settings.

Run andreasjansson/codellama-34b-instruct-gguf 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": "andreasjansson/codellama-34b-instruct-gguf:1ed692e424acdf3301719be51404611c70e4b99a43b9b0e65b56460490684cac",
    "input": {
      "top_k": 10,
      "top_p": 0.95,
      "max_tokens": 500,
      "temperature": 0.8,
      "mirostat_mode": "Disabled",
      "repeat_penalty": 1.1,
      "mirostat_entropy": 5,
      "presence_penalty": 0,
      "frequency_penalty": 0,
      "mirostat_learning_rate": 0.1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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