moinnadeem/mlc_llama_70b | Run with an API on Replicate

moinnadeem / mlc_llama_70b

Cold

Public
144 runs
L40S

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

Can you write a poem about open source machine learning? Let's make it in the style of E. E. Cummings.Can you write a poem about open source machine learning? Let's make it in the style of E. E. Cummings.

Prompt to send to Llama v2.

Default: "Can you write a poem about open source machine learning? Let's make it in the style of E. E. Cummings."

system_prompt

string

Shift + Return to add a new line

You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.

System prompt to send to Llama v2. This is prepended to the prompt and helps guide system behavior.

Default: "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n"

max_new_tokens

integer

(minimum: 1)

Maximum number of tokens to generate. A word is generally 2-3 tokens

Default: 128

temperature

number

(minimum: 0.01, maximum: 5)

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.

Default: 0.75

top_p

number

(minimum: 0, maximum: 1)

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens

Default: 0.9

repetition_penalty

number

(minimum: 0.01, maximum: 5)

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.

Default: 1.15

stop_str

string

Shift + Return to add a new line

A sequence to stop generation at. For example, '<end>' will stop generation at the first instance of '<end>'.

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

npx create-replicate --model=moinnadeem/mlc_llama_70b

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 moinnadeem/mlc_llama_70b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "moinnadeem/mlc_llama_70b:2d111781313501c38cd851f57ba5c22977435c247eb8ead5ed679437f75d4822",
  {
    input: {
      top_p: 0.9,
      prompt: "Can you write a poem about open source machine learning? Let's make it in the style of E. E. Cummings.",
      temperature: 0.75,
      system_prompt: "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n",
      max_new_tokens: 128,
      repetition_penalty: 1.15
    }
  }
);

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 moinnadeem/mlc_llama_70b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "moinnadeem/mlc_llama_70b:2d111781313501c38cd851f57ba5c22977435c247eb8ead5ed679437f75d4822",
    input={
        "top_p": 0.9,
        "prompt": "Can you write a poem about open source machine learning? Let's make it in the style of E. E. Cummings.",
        "temperature": 0.75,
        "system_prompt": "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n",
        "max_new_tokens": 128,
        "repetition_penalty": 1.15
    }
)

# The moinnadeem/mlc_llama_70b 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/moinnadeem/mlc_llama_70b/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 moinnadeem/mlc_llama_70b 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": "moinnadeem/mlc_llama_70b:2d111781313501c38cd851f57ba5c22977435c247eb8ead5ed679437f75d4822",
    "input": {
      "top_p": 0.9,
      "prompt": "Can you write a poem about open source machine learning? Let\'s make it in the style of E. E. Cummings.",
      "temperature": 0.75,
      "system_prompt": "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\\n\\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don\'t know the answer to a question, please don\'t share false information.\\n",
      "max_new_tokens": 128,
      "repetition_penalty": 1.15
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/moinnadeem/mlc_llama_70b@sha256:2d111781313501c38cd851f57ba5c22977435c247eb8ead5ed679437f75d4822 \
  -i 'top_p=0.9' \
  -i $'prompt="Can you write a poem about open source machine learning? Let\'s make it in the style of E. E. Cummings."' \
  -i 'temperature=0.75' \
  -i $'system_prompt="You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\\n\\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don\'t know the answer to a question, please don\'t share false information.\\n"' \
  -i 'max_new_tokens=128' \
  -i 'repetition_penalty=1.15'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/moinnadeem/mlc_llama_70b@sha256:2d111781313501c38cd851f57ba5c22977435c247eb8ead5ed679437f75d4822
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_p": 0.9,
      "prompt": "Can you write a poem about open source machine learning? Let\'s make it in the style of E. E. Cummings.",
      "temperature": 0.75,
      "system_prompt": "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\\n\\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don\'t know the answer to a question, please don\'t share false information.\\n",
      "max_new_tokens": 128,
      "repetition_penalty": 1.15
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.