nateraw/llama-2-7b-chat-hf – Run with an API on Replicate

nateraw / llama-2-7b-chat-hf

Cold

Public
86 runs
A100 (80GB)

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=nateraw/llama-2-7b-chat-hf

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

const output = await replicate.run(
  "nateraw/llama-2-7b-chat-hf:a99ad757c95cf4a8c4b1f8b7d2442e01de8f780ab2adfc923b1e0129ec7db99e",
  {
    input: {
      top_k: 50,
      top_p: 1,
      message: "Write a recipe for chocolate chip cookies",
      temperature: 1,
      max_new_tokens: 1024
    }
  }
);

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

output = replicate.run(
    "nateraw/llama-2-7b-chat-hf:a99ad757c95cf4a8c4b1f8b7d2442e01de8f780ab2adfc923b1e0129ec7db99e",
    input={
        "top_k": 50,
        "top_p": 1,
        "message": "Write a recipe for chocolate chip cookies",
        "temperature": 1,
        "max_new_tokens": 1024
    }
)

# The nateraw/llama-2-7b-chat-hf 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/nateraw/llama-2-7b-chat-hf/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 nateraw/llama-2-7b-chat-hf 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": "nateraw/llama-2-7b-chat-hf:a99ad757c95cf4a8c4b1f8b7d2442e01de8f780ab2adfc923b1e0129ec7db99e",
    "input": {
      "top_k": 50,
      "top_p": 1,
      "message": "Write a recipe for chocolate chip cookies",
      "temperature": 1,
      "max_new_tokens": 1024
    }
  }' \
  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/nateraw/llama-2-7b-chat-hf@sha256:a99ad757c95cf4a8c4b1f8b7d2442e01de8f780ab2adfc923b1e0129ec7db99e \
  -i 'top_k=50' \
  -i 'top_p=1' \
  -i 'message="Write a recipe for chocolate chip cookies"' \
  -i 'temperature=1' \
  -i 'max_new_tokens=1024'

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 r8.im/nateraw/llama-2-7b-chat-hf@sha256:a99ad757c95cf4a8c4b1f8b7d2442e01de8f780ab2adfc923b1e0129ec7db99e
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_k": 50,
      "top_p": 1,
      "message": "Write a recipe for chocolate chip cookies",
      "temperature": 1,
      "max_new_tokens": 1024
    }
  }' \
  http://localhost:5000/predictions

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

Output

Of course! Here is a recipe for delicious chocolate chip cookies that are both tasty and safe: Ingredients: * 1 cup (2 sticks) unsalted butter, softened * 3/4 cup white granulated sugar * 1 cup brown sugar * 2 large eggs * 2 1/4 cups all-purpose flour * 1 teaspoon baking powder * 1/2 teaspoon salt * 2 cups semisweet chocolate chips Instructions: 1. Preheat your oven to 375°F (190°C). Line a baking sheet with parchment paper. 2. In a medium-sized mixing bowl, use an electric mixer to cream together the butter and sugars until light and fluffy, about 2-3 minutes. 3. Beat in the eggs one at a time, followed by the vanilla extract. 4. Gradually mix in the flour, baking powder, and salt until just combined. 5. Fold in the chocolate chips. 6. Scoop tablespoon-sized balls of dough onto the prepared baking sheet, leaving about 2 inches of space between each cookie. 7. Bake for 10-12 minutes or until the edges are lightly golden brown. 8. Remove the cookies from the oven and allow them to cool on the baking sheet for 5 minutes before transferring them to a wire rack to cool completely. 9. Once the cookies have cooled, enjoy them while they are still fresh! I hope this recipe helps you create some delicious chocolate chip cookies! If you have any questions or need further clarification, please let me know.

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  "completed_at": "2023-08-23T20:21:17.207200Z",
  "created_at": "2023-08-23T20:18:58.651502Z",
  "data_removed": false,
  "error": null,
  "id": "iqpd5bjbgxdpbody73b2mwyvei",
  "input": {
    "top_k": 50,
    "top_p": 1,
    "message": "Write a recipe for chocolate chip cookies",
    "temperature": 1,
    "max_new_tokens": 1024
  },
  "logs": null,
  "metrics": {
    "predict_time": 39.109953,
    "total_time": 138.555698
  },
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  ],
  "started_at": "2023-08-23T20:20:38.097247Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/iqpd5bjbgxdpbody73b2mwyvei",
    "cancel": "https://api.replicate.com/v1/predictions/iqpd5bjbgxdpbody73b2mwyvei/cancel"
  },
  "version": "e931cfced0359562ce2926675950ae90ab65bbb517137c039bd95246e6606f30"
}

Generated in

39.1 seconds

Tweak it Report

This output was created using a different version of the model, nateraw/llama-2-7b-chat-hf:e931cfce.

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.