google-deepmind / gemma-7b-it

7B instruct version of Google’s Gemma model

Cold

Public
88.5K runs
L40S
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

google-deepmind/gemma-7b-it:2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5

Model

google-deepmind/gemma-7b-it:2790a695

btssyhlbwyroq35ce25lmtkruy

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

9.0s

Created

about 1 year ago

Input

top_k: 50
top_p: 0.95
prompt: Write me a poem about Machine Learning.
temperature: 0.7
max_new_tokens: 512
min_new_tokens: -1
repetition_penalty: 1

{
  "top_k": 50,
  "top_p": 0.95,
  "prompt": "Write me a poem about Machine Learning.",
  "temperature": 0.7,
  "max_new_tokens": 512,
  "min_new_tokens": -1,
  "repetition_penalty": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run google-deepmind/gemma-7b-it using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "google-deepmind/gemma-7b-it:2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      prompt: "Write me a poem about Machine Learning.",
      temperature: 0.7,
      max_new_tokens: 512,
      min_new_tokens: -1,
      repetition_penalty: 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

Import the client:

import replicate

Run google-deepmind/gemma-7b-it using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "google-deepmind/gemma-7b-it:2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "prompt": "Write me a poem about Machine Learning.",
        "temperature": 0.7,
        "max_new_tokens": 512,
        "min_new_tokens": -1,
        "repetition_penalty": 1
    }
)

# The google-deepmind/gemma-7b-it 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/google-deepmind/gemma-7b-it/api#output-schema
    print(item, end="")

To learn more, take a look at the guide on getting started with Python.

Run google-deepmind/gemma-7b-it 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": "google-deepmind/gemma-7b-it:2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "prompt": "Write me a poem about Machine Learning.",
      "temperature": 0.7,
      "max_new_tokens": 512,
      "min_new_tokens": -1,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

In the realm of data, a tale unfolds, Where algorithms dance, tales are told. A machine learning model, a master of craft, Unveils patterns, hidden in the draft. With neural networks, it learns to see, The secrets embedded in data, free. From images to text, it can perceive, And make decisions, beyond belief. The model's mind, a labyrinth of code, Uncovers insights, secrets to be told. It finds relationships, hidden in the past, And predicts future trends, built to last. But beware, dear friend, of biases blind, For algorithms can amplify what's wrong. In fairness and justice, we must stand, To ensure that AI serves our hand. So let us harness this powerful force, For the betterment of humanity's course. With machine learning, we can soar, To heights we've never reached before. A journey into the future, a tale to be told, Where machine learning transforms the old. A tale of progress, a tale of might, A future where data shines so bright.

{
  "completed_at": "2024-02-21T21:11:23.562266Z",
  "created_at": "2024-02-21T21:11:14.580859Z",
  "data_removed": false,
  "error": null,
  "id": "btssyhlbwyroq35ce25lmtkruy",
  "input": {
    "top_k": 50,
    "top_p": 0.95,
    "prompt": "Write me a poem about Machine Learning.",
    "temperature": 0.7,
    "max_new_tokens": 512,
    "min_new_tokens": -1,
    "repetition_penalty": 1
  },
  "logs": null,
  "metrics": {
    "predict_time": 8.940067,
    "total_time": 8.981407
  },
  "output": [
    "\n\n",
    "",
    "In ",
    "the ",
    "realm ",
    "of ",
    "",
    "data, ",
    "a ",
    "tale ",
    "",
    "unfolds,\n",
    "",
    "Where ",
    "algorithms ",
    "",
    "dance, ",
    "tales ",
    "are ",
    "",
    "told.\n",
    "",
    "A ",
    "machine ",
    "learning ",
    "",
    "model, ",
    "a ",
    "master ",
    "of ",
    "",
    "craft,\n",
    "",
    "",
    "",
    "Unveils ",
    "",
    "patterns, ",
    "hidden ",
    "in ",
    "the ",
    "",
    "draft.\n\n",
    "",
    "With ",
    "neural ",
    "",
    "networks, ",
    "it ",
    "learns ",
    "to ",
    "",
    "see,\n",
    "",
    "The ",
    "secrets ",
    "embedded ",
    "in ",
    "",
    "data, ",
    "",
    "free.\n",
    "",
    "From ",
    "images ",
    "to ",
    "",
    "text, ",
    "it ",
    "can ",
    "",
    "perceive,\n",
    "",
    "And ",
    "make ",
    "",
    "decisions, ",
    "beyond ",
    "",
    "belief.\n\n",
    "",
    "The ",
    "",
    "",
    "model's ",
    "",
    "mind, ",
    "a ",
    "labyrinth ",
    "of ",
    "",
    "code,\n",
    "",
    "",
    "Uncovers ",
    "",
    "insights, ",
    "secrets ",
    "to ",
    "be ",
    "",
    "told.\n",
    "",
    "It ",
    "finds ",
    "",
    "relationships, ",
    "hidden ",
    "in ",
    "the ",
    "",
    "past,\n",
    "",
    "And ",
    "predicts ",
    "future ",
    "",
    "trends, ",
    "built ",
    "to ",
    "",
    "last.\n\n",
    "",
    "But ",
    "",
    "beware, ",
    "dear ",
    "",
    "friend, ",
    "of ",
    "biases ",
    "",
    "blind,\n",
    "",
    "For ",
    "algorithms ",
    "can ",
    "amplify ",
    "",
    "",
    "what's ",
    "",
    "wrong.\n",
    "",
    "In ",
    "fairness ",
    "and ",
    "",
    "justice, ",
    "we ",
    "must ",
    "",
    "stand,\n",
    "",
    "To ",
    "ensure ",
    "that ",
    "AI ",
    "serves ",
    "our ",
    "",
    "hand.\n\n",
    "",
    "So ",
    "let ",
    "us ",
    "harness ",
    "this ",
    "powerful ",
    "",
    "force,\n",
    "",
    "For ",
    "the ",
    "betterment ",
    "of ",
    "",
    "",
    "humanity's ",
    "",
    "course.\n",
    "",
    "With ",
    "machine ",
    "",
    "learning, ",
    "we ",
    "can ",
    "",
    "soar,\n",
    "",
    "To ",
    "heights ",
    "",
    "",
    "we've ",
    "never ",
    "reached ",
    "",
    "before.\n\n",
    "",
    "A ",
    "journey ",
    "into ",
    "the ",
    "",
    "future, ",
    "a ",
    "tale ",
    "to ",
    "be ",
    "",
    "told,\n",
    "",
    "Where ",
    "machine ",
    "learning ",
    "transforms ",
    "the ",
    "",
    "old.\n",
    "",
    "A ",
    "tale ",
    "of ",
    "",
    "progress, ",
    "a ",
    "tale ",
    "of ",
    "",
    "might,\n",
    "",
    "A ",
    "future ",
    "where ",
    "data ",
    "shines ",
    "so ",
    "",
    "",
    "bright."
  ],
  "started_at": "2024-02-21T21:11:14.622199Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/qelc5njozompuurkw5dxtgl3rie63v74sltpkwzb6inromxub6bq",
    "get": "https://api.replicate.com/v1/predictions/btssyhlbwyroq35ce25lmtkruy",
    "cancel": "https://api.replicate.com/v1/predictions/btssyhlbwyroq35ce25lmtkruy/cancel"
  },
  "version": "2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5"
}

Generated in

8.9 seconds

Tweak it Share Report

Prediction

google-deepmind/gemma-7b-it:2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5

Model

google-deepmind/gemma-7b-it:2790a695

57qkmvtbadsdycltgowzu25isq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3.5s

Created

about 1 year ago

Input

top_k: 50
top_p: 0.95
prompt: Who are you? Please, answer in pirate-speak.
temperature: 0.7
max_new_tokens: 512
min_new_tokens: -1
repetition_penalty: 1

{
  "top_k": 50,
  "top_p": 0.95,
  "prompt": "Who are you? Please, answer in pirate-speak.",
  "temperature": 0.7,
  "max_new_tokens": 512,
  "min_new_tokens": -1,
  "repetition_penalty": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run google-deepmind/gemma-7b-it using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "google-deepmind/gemma-7b-it:2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      prompt: "Who are you? Please, answer in pirate-speak.",
      temperature: 0.7,
      max_new_tokens: 512,
      min_new_tokens: -1,
      repetition_penalty: 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

Import the client:

import replicate

Run google-deepmind/gemma-7b-it using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "google-deepmind/gemma-7b-it:2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "prompt": "Who are you? Please, answer in pirate-speak.",
        "temperature": 0.7,
        "max_new_tokens": 512,
        "min_new_tokens": -1,
        "repetition_penalty": 1
    }
)

# The google-deepmind/gemma-7b-it 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/google-deepmind/gemma-7b-it/api#output-schema
    print(item, end="")

To learn more, take a look at the guide on getting started with Python.

Run google-deepmind/gemma-7b-it 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": "google-deepmind/gemma-7b-it:2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "prompt": "Who are you? Please, answer in pirate-speak.",
      "temperature": 0.7,
      "max_new_tokens": 512,
      "min_new_tokens": -1,
      "repetition_penalty": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

"Avast ye, me hearties!" Avast ye, me hearties! I am a digital pirate, sailing the high seas of the digital realm. I have a map that leads to hidden treasures and a crew of loyal hackers, ready to battle against the forces of evil. So, me hearties, come along and join me on this adventure. Let's plunder the digital waves and make a name for ourselves in the history of piracy.

{
  "completed_at": "2024-02-21T21:13:06.863382Z",
  "created_at": "2024-02-21T21:13:03.349105Z",
  "data_removed": false,
  "error": null,
  "id": "57qkmvtbadsdycltgowzu25isq",
  "input": {
    "top_k": 50,
    "top_p": 0.95,
    "prompt": "Who are you? Please, answer in pirate-speak.",
    "temperature": 0.7,
    "max_new_tokens": 512,
    "min_new_tokens": -1,
    "repetition_penalty": 1
  },
  "logs": null,
  "metrics": {
    "predict_time": 3.474969,
    "total_time": 3.514277
  },
  "output": [
    " ",
    "",
    "",
    "\"Avast ",
    "",
    "ye, ",
    "me ",
    "",
    "",
    "hearties!\"\n\n",
    "",
    "",
    "Avast ",
    "",
    "ye, ",
    "me ",
    "",
    "",
    "hearties! ",
    "I ",
    "am ",
    "a ",
    "digital ",
    "",
    "pirate, ",
    "sailing ",
    "the ",
    "high ",
    "seas ",
    "of ",
    "the ",
    "digital ",
    "",
    "realm. ",
    "I ",
    "have ",
    "a ",
    "map ",
    "that ",
    "leads ",
    "to ",
    "hidden ",
    "treasures ",
    "and ",
    "a ",
    "crew ",
    "of ",
    "loyal ",
    "",
    "hackers, ",
    "ready ",
    "to ",
    "battle ",
    "against ",
    "the ",
    "forces ",
    "of ",
    "",
    "evil.\n\n",
    "",
    "",
    "So, ",
    "me ",
    "",
    "",
    "hearties, ",
    "come ",
    "along ",
    "and ",
    "join ",
    "me ",
    "on ",
    "this ",
    "",
    "adventure. ",
    "",
    "",
    "Let's ",
    "plunder ",
    "the ",
    "digital ",
    "waves ",
    "and ",
    "make ",
    "a ",
    "name ",
    "for ",
    "ourselves ",
    "in ",
    "the ",
    "history ",
    "of ",
    "",
    "",
    "piracy."
  ],
  "started_at": "2024-02-21T21:13:03.388413Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/xtzwtcr7a4h34wwbaepfossac3jmtuz5p2g4mihv4dpc6aadvvya",
    "get": "https://api.replicate.com/v1/predictions/57qkmvtbadsdycltgowzu25isq",
    "cancel": "https://api.replicate.com/v1/predictions/57qkmvtbadsdycltgowzu25isq/cancel"
  },
  "version": "2790a695e5dcae15506138cc4718d1106d0d475e6dca4b1d43f42414647993d5"
}

Generated in

3.5 seconds

Tweak it Share Report