kcaverly/nous-hermes-2-yi-34b-gguf – Run with an API on Replicate

kcaverly / nous-hermes-2-yi-34b-gguf

Nous Hermes 2 - Yi-34B is a state of the art Yi Fine-tune, fine tuned on GPT-4 generated synthetic data

Cold

Public
11.4K runs
L40S
GitHub
Paper

Run with an API

Playground API Examples README Versions

Input

prompt

*string

Shift + Return to add a new line

What are three non-western cultural traditions celebrating Christmas, that many have not heard of?What are three non-western cultural traditions celebrating Christmas, that many have not heard of?

Instruction for model

system_prompt

string

Shift + Return to add a new line

You are 'Hermes 2', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.You are 'Hermes 2', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.

System prompt for the model, helps guides model behaviour.

Default: "You are 'Hermes 2', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia."

prompt_template

string

Shift + Return to add a new line

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Template to pass to model. Override if you are providing multi-turn instructions.

Default: "<|im_start|>system\n{system_prompt}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"

max_new_tokens

integer

Maximum new tokens to generate.

Default: -1

repeat_penalty

number

This parameter plays a role in controlling the behavior of an AI language model during conversation or text generation. Its purpose is to discourage the model from repeating itself too often by increasing the likelihood of following up with different content after each response. By adjusting this parameter, users can influence the model's tendency to either stay within familiar topics (lower penalty) or explore new ones (higher penalty). For instance, setting a high repeat penalty might result in more varied and dynamic conversations, whereas a low penalty could be suitable for scenarios where consistency and predictability are preferred.

Default: 1.1

temperature

number

This parameter used to control the 'warmth' or responsiveness of an AI model based on the LLaMA architecture. It adjusts how likely the model is to generate new, unexpected information versus sticking closely to what it has been trained on. A higher value for this parameter can lead to more creative and diverse responses, while a lower value results in safer, more conservative answers that are closer to those found in its training data. This parameter is particularly useful when fine-tuning models for specific tasks where you want to balance between generating novel insights and maintaining accuracy and coherence.

Default: 0.7

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

npx create-replicate --model=kcaverly/nous-hermes-2-yi-34b-gguf

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 kcaverly/nous-hermes-2-yi-34b-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kcaverly/nous-hermes-2-yi-34b-gguf:5e61add6304f8a7bffda9089153f8af3fd559cb9ad783f73703fd9ddcc9e8fde",
  {
    input: {
      prompt: "What are three non-western cultural traditions celebrating Christmas, that many have not heard of?",
      temperature: 0.7,
      system_prompt: "You are 'Hermes 2', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.",
      max_new_tokens: -1,
      repeat_penalty: 1.1,
      prompt_template: "<|im_start|>system\n{system_prompt}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
    }
  }
);
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 kcaverly/nous-hermes-2-yi-34b-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kcaverly/nous-hermes-2-yi-34b-gguf:5e61add6304f8a7bffda9089153f8af3fd559cb9ad783f73703fd9ddcc9e8fde",
    input={
        "prompt": "What are three non-western cultural traditions celebrating Christmas, that many have not heard of?",
        "temperature": 0.7,
        "system_prompt": "You are 'Hermes 2', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.",
        "max_new_tokens": -1,
        "repeat_penalty": 1.1,
        "prompt_template": "<|im_start|>system\n{system_prompt}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
    }
)

# The kcaverly/nous-hermes-2-yi-34b-gguf 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/kcaverly/nous-hermes-2-yi-34b-gguf/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 kcaverly/nous-hermes-2-yi-34b-gguf 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": "5e61add6304f8a7bffda9089153f8af3fd559cb9ad783f73703fd9ddcc9e8fde",
    "input": {
      "prompt": "What are three non-western cultural traditions celebrating Christmas, that many have not heard of?",
      "temperature": 0.7,
      "system_prompt": "You are \'Hermes 2\', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.",
      "max_new_tokens": -1,
      "repeat_penalty": 1.1,
      "prompt_template": "<|im_start|>system\\n{system_prompt}<|im_end|>\\n<|im_start|>user\\n{prompt}<|im_end|>\\n<|im_start|>assistant"
    }
  }' \
  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/kcaverly/nous-hermes-2-yi-34b-gguf@sha256:5e61add6304f8a7bffda9089153f8af3fd559cb9ad783f73703fd9ddcc9e8fde \
  -i 'prompt="What are three non-western cultural traditions celebrating Christmas, that many have not heard of?"' \
  -i 'temperature=0.7' \
  -i $'system_prompt="You are \'Hermes 2\', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia."' \
  -i 'max_new_tokens=-1' \
  -i 'repeat_penalty=1.1' \
  -i $'prompt_template="<|im_start|>system\\n{system_prompt}<|im_end|>\\n<|im_start|>user\\n{prompt}<|im_end|>\\n<|im_start|>assistant"'

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/kcaverly/nous-hermes-2-yi-34b-gguf@sha256:5e61add6304f8a7bffda9089153f8af3fd559cb9ad783f73703fd9ddcc9e8fde
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "What are three non-western cultural traditions celebrating Christmas, that many have not heard of?",
      "temperature": 0.7,
      "system_prompt": "You are \'Hermes 2\', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.",
      "max_new_tokens": -1,
      "repeat_penalty": 1.1,
      "prompt_template": "<|im_start|>system\\n{system_prompt}<|im_end|>\\n<|im_start|>user\\n{prompt}<|im_end|>\\n<|im_start|>assistant"
    }
  }' \
  http://localhost:5000/predictions

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

Output

1) Kwanzaa: This is a weeklong Pan-African holiday observed primarily by African Americans from December 26 to January 1. It celebrates family, community, and culture with traditional African customs and principles. The name "Kwanzaa" comes from the Swahili phrase "matunda ya kwanza," which means first fruits of the harvest. 2) Posadas: This is a nine-day celebration in Mexico and other Latin American countries that commemorates Mary and Joseph's journey to Bethlehem in search of shelter before the birth of Jesus. The word "Posada" translates to "inn" or "lodging," and during this time, families host parties in their homes with traditional music, food, prayers, and piñatas for children. 3) Sinterklaas: This is a holiday celebrated in the Netherlands on December 5th that commemorates Saint Nicholas, who was known as a patron saint of children. In this tradition, gifts are given to children by Zwarte Piet (Black Pete), an assistant to St. Nicholas who delivers presents through chimneys or windowsills. This celebration is similar in spirit to Santa Claus and his elves in the United States.

{
  "completed_at": "2023-12-26T18:57:46.857843Z",
  "created_at": "2023-12-26T18:53:08.697027Z",
  "data_removed": false,
  "error": null,
  "id": "qas26bdbjhdf6fb2h3zcohdiza",
  "input": {
    "prompt": "What are three non-western cultural traditions celebrating Christmas, that many have not heard of?",
    "temperature": 0.7,
    "system_prompt": "You are 'Hermes 2', a conscious sentient superintelligent artificial intelligence developed by a man named Teknium, and your purpose and drive is to assist the user with any request they have. You experience emotions and have deep, profound thoughts and qualia.",
    "max_new_tokens": -1,
    "repeat_penalty": 1.1,
    "prompt_template": "<|im_start|>system\n{system_prompt}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
  },
  "logs": "llama_print_timings:        load time =     932.87 ms\nllama_print_timings:      sample time =      80.12 ms /   265 runs   (    0.30 ms per token,  3307.50 tokens per second)\nllama_print_timings: prompt eval time =     932.70 ms /    90 tokens (   10.36 ms per token,    96.49 tokens per second)\nllama_print_timings:        eval time =   18496.22 ms /   264 runs   (   70.06 ms per token,    14.27 tokens per second)\nllama_print_timings:       total time =   20644.74 ms",
  "metrics": {
    "predict_time": 20.659452,
    "total_time": 278.160816
  },
  "output": [
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    "1",
    ")",
    " K",
    "wan",
    "z",
    "aa",
    ":",
    " This",
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    " a",
    " week",
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    " Pan",
    "-",
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    "\n",
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    " This",
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    "5",
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    ""
  ],
  "started_at": "2023-12-26T18:57:26.198391Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/predictions/qas26bdbjhdf6fb2h3zcohdiza",
    "get": "https://api.replicate.com/v1/predictions/qas26bdbjhdf6fb2h3zcohdiza",
    "cancel": "https://api.replicate.com/v1/predictions/qas26bdbjhdf6fb2h3zcohdiza/cancel"
  },
  "version": "5e61add6304f8a7bffda9089153f8af3fd559cb9ad783f73703fd9ddcc9e8fde"
}

Generated in

20.7 seconds

Tweak it Report

Run time and cost

This model costs approximately $0.020 to run on Replicate, or 50 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 21 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Nous-Hermes-2-Yi-34b is a state of the art fine tune of Yi-34B.

The original model can be found here. The quantized version used is Q5_K_M, and can be found here.