moinnadeem/llama-2-7b-mlc | Run with an API on Replicate

Cold

Public

3.4K runs

A100 (80GB)

Playground API Examples Train README Versions

Input

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

npx create-replicate --model=moinnadeem/llama-2-7b-mlc

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/llama-2-7b-mlc using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "moinnadeem/llama-2-7b-mlc:1872efa73aedb56644f6c0649d5d8d0fe4fa1c65979806f3c987935c2e14ab97",
  {
    input: {
      debug: false,
      top_k: 0,
      top_p: 0.95,
      temperature: 0.7,
      return_logits: false,
      max_new_tokens: 128,
      min_new_tokens: -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 moinnadeem/llama-2-7b-mlc using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "moinnadeem/llama-2-7b-mlc:1872efa73aedb56644f6c0649d5d8d0fe4fa1c65979806f3c987935c2e14ab97",
    input={
        "debug": False,
        "top_k": 0,
        "top_p": 0.95,
        "temperature": 0.7,
        "return_logits": False,
        "max_new_tokens": 128,
        "min_new_tokens": -1
    }
)

# The moinnadeem/llama-2-7b-mlc 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/llama-2-7b-mlc/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/llama-2-7b-mlc 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/llama-2-7b-mlc:1872efa73aedb56644f6c0649d5d8d0fe4fa1c65979806f3c987935c2e14ab97",
    "input": {
      "debug": false,
      "top_k": 0,
      "top_p": 0.95,
      "temperature": 0.7,
      "return_logits": false,
      "max_new_tokens": 128,
      "min_new_tokens": -1
    }
  }' \
  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/llama-2-7b-mlc@sha256:1872efa73aedb56644f6c0649d5d8d0fe4fa1c65979806f3c987935c2e14ab97 \
  -i 'debug=false' \
  -i 'top_k=0' \
  -i 'top_p=0.95' \
  -i 'temperature=0.7' \
  -i 'return_logits=false' \
  -i 'max_new_tokens=128' \
  -i 'min_new_tokens=-1'

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/llama-2-7b-mlc@sha256:1872efa73aedb56644f6c0649d5d8d0fe4fa1c65979806f3c987935c2e14ab97
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "debug": false,
      "top_k": 0,
      "top_p": 0.95,
      "temperature": 0.7,
      "return_logits": false,
      "max_new_tokens": 128,
      "min_new_tokens": -1
    }
  }' \
  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 A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.