yorickvp/llava-v1.6-mistral-7b:19be067b – Run with an API on Replicate

Version

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yorickvp /llava-v1.6-mistral-7b:19be067b

Playground API

Input

image

file

Input image

prompt

*string

Shift + Return to add a new line

Reply in json format with the following keys - containsLines : True or False,  colorsOfLines: array of str, numberOfLines: int, numberOfIntersectionPointsBetweenLines: intReply in json format with the following keys - containsLines : True or False,  colorsOfLines: array of str, numberOfLines: int, numberOfIntersectionPointsBetweenLines: int

Prompt to use for text generation

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: 1

temperature

number

(minimum: 0)

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic

Default: 0.2

max_tokens

integer

(minimum: 0)

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

Default: 1024

history

string[]

List of earlier chat messages, alternating roles, starting with user input. Include <image> to specify which message to attach the image to.

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

npx create-replicate --model=yorickvp/llava-v1.6-mistral-7b

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 yorickvp/llava-v1.6-mistral-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yorickvp/llava-v1.6-mistral-7b:19be067b589d0c46689ffa7cc3ff321447a441986a7694c01225973c2eafc874",
  {
    input: {
      image: "https://replicate.delivery/pbxt/LFOkHr2gGAdPNIanHgR9W4NpYaMSyL605eBBtmTIhZ2ZYu9F/Screenshot%202024-07-11%20at%208.56.55%20AM.png",
      top_p: 1,
      prompt: "Reply in json format with the following keys - containsLines : True or False,  colorsOfLines: array of str, numberOfLines: int, numberOfIntersectionPointsBetweenLines: int",
      max_tokens: 1024,
      temperature: 0.2
    }
  }
);

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 yorickvp/llava-v1.6-mistral-7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yorickvp/llava-v1.6-mistral-7b:19be067b589d0c46689ffa7cc3ff321447a441986a7694c01225973c2eafc874",
    input={
        "image": "https://replicate.delivery/pbxt/LFOkHr2gGAdPNIanHgR9W4NpYaMSyL605eBBtmTIhZ2ZYu9F/Screenshot%202024-07-11%20at%208.56.55%20AM.png",
        "top_p": 1,
        "prompt": "Reply in json format with the following keys - containsLines : True or False,  colorsOfLines: array of str, numberOfLines: int, numberOfIntersectionPointsBetweenLines: int",
        "max_tokens": 1024,
        "temperature": 0.2
    }
)

# The yorickvp/llava-v1.6-mistral-7b 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/yorickvp/llava-v1.6-mistral-7b/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 yorickvp/llava-v1.6-mistral-7b 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": "19be067b589d0c46689ffa7cc3ff321447a441986a7694c01225973c2eafc874",
    "input": {
      "image": "https://replicate.delivery/pbxt/LFOkHr2gGAdPNIanHgR9W4NpYaMSyL605eBBtmTIhZ2ZYu9F/Screenshot%202024-07-11%20at%208.56.55%20AM.png",
      "top_p": 1,
      "prompt": "Reply in json format with the following keys - containsLines : True or False,  colorsOfLines: array of str, numberOfLines: int, numberOfIntersectionPointsBetweenLines: int",
      "max_tokens": 1024,
      "temperature": 0.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

```json { "containsLines": true, "colorsOfLines": ["red", "blue"], "numberOfLines": 4, "numberOfIntersectionPointsBetweenLines": 2 } ```

Generated in

2.9 seconds

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