nateraw/nous-hermes-2-solar-10.7b:1e918ab6 | Run with an API on Replicate

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nateraw /nous-hermes-2-solar-10.7b:1e918ab6

Input

prompt

*string

Shift + Return to add a new line

Write a short hello world FastAPI exampleWrite a short hello world FastAPI example

max_new_tokens

integer

The maximum number of tokens the model should generate as output.

Default: 512

temperature

number

The value used to modulate the next token probabilities.

Default: 0.6

top_p

number

A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).

Default: 0.9

top_k

integer

The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).

Default: 50

presence_penalty

number

Presence penalty

Default: 0

frequency_penalty

number

Frequency penalty

Default: 0

prompt_template

string

Shift + Return to add a new line

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

The template used to format the prompt. The input prompt is inserted into the template using the `{prompt}` placeholder.

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

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

npx create-replicate --model=nateraw/nous-hermes-2-solar-10.7b

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 nateraw/nous-hermes-2-solar-10.7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nateraw/nous-hermes-2-solar-10.7b:1e918ab6ffd5872c21fba21a511f344fd12ac0edff6302c9cd260395c7707ff4",
  {
    input: {
      top_k: 50,
      top_p: 0.9,
      prompt: "Write a short hello world FastAPI example",
      temperature: 0.6,
      max_new_tokens: 512,
      prompt_template: "<|im_start|>system\nYou 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.<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n",
      presence_penalty: 0,
      frequency_penalty: 0
    }
  }
);

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/nous-hermes-2-solar-10.7b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nateraw/nous-hermes-2-solar-10.7b:1e918ab6ffd5872c21fba21a511f344fd12ac0edff6302c9cd260395c7707ff4",
    input={
        "top_k": 50,
        "top_p": 0.9,
        "prompt": "Write a short hello world FastAPI example",
        "temperature": 0.6,
        "max_new_tokens": 512,
        "prompt_template": "<|im_start|>system\nYou 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.<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n",
        "presence_penalty": 0,
        "frequency_penalty": 0
    }
)

# The nateraw/nous-hermes-2-solar-10.7b 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/nateraw/nous-hermes-2-solar-10.7b/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 nateraw/nous-hermes-2-solar-10.7b 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": "nateraw/nous-hermes-2-solar-10.7b:1e918ab6ffd5872c21fba21a511f344fd12ac0edff6302c9cd260395c7707ff4",
    "input": {
      "top_k": 50,
      "top_p": 0.9,
      "prompt": "Write a short hello world FastAPI example",
      "temperature": 0.6,
      "max_new_tokens": 512,
      "prompt_template": "<|im_start|>system\\nYou 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.<|im_end|>\\n<|im_start|>user\\n{prompt}<|im_end|>\\n<|im_start|>assistant\\n",
      "presence_penalty": 0,
      "frequency_penalty": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Certainly! Here's a simple "Hello, World!" FastAPI example: ```python from fastapi import FastAPI app = FastAPI() @app.get("/") async def root(): return {"message": "Hello, World!"} ``` This code creates a FastAPI application, defines a route at the root URL ("/"), and returns a JSON object with a message saying "Hello, World!" when that route is accessed.

{
  "completed_at": "2024-01-03T00:05:00.273091Z",
  "created_at": "2024-01-03T00:02:14.751468Z",
  "data_removed": false,
  "error": null,
  "id": "t6nhwatb7ph3ublql5tmpquxbu",
  "input": {
    "top_k": 50,
    "top_p": 0.9,
    "prompt": "Write a short hello world FastAPI example",
    "temperature": 0.6,
    "max_new_tokens": 512,
    "prompt_template": "<|im_start|>system\nYou 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.<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n",
    "presence_penalty": 0,
    "frequency_penalty": 0
  },
  "logs": "INFO 01-03 00:04:56 async_llm_engine.py:379] Received request 0: prompt: '<|im_start|>system\\nYou 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.<|im_end|>\\n<|im_start|>user\\nWrite a short hello world FastAPI example<|im_end|>\\n<|im_start|>assistant\\n', sampling params: SamplingParams(n=1, best_of=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.6, top_p=0.9, top_k=50, min_p=0.0, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=['<|im_end|>'], stop_token_ids=[], ignore_eos=False, max_tokens=512, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True), prompt token ids: None.\nINFO 01-03 00:04:56 llm_engine.py:649] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.1%, CPU KV cache usage: 0.0%\nINFO 01-03 00:05:00 async_llm_engine.py:111] Finished request 0.\ngeneration took 3.893s",
  "metrics": {
    "predict_time": 3.954088,
    "total_time": 165.521623
  },
  "output": [
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    "app",
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    ""
  ],
  "started_at": "2024-01-03T00:04:56.319003Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/predictions/t6nhwatb7ph3ublql5tmpquxbu",
    "get": "https://api.replicate.com/v1/predictions/t6nhwatb7ph3ublql5tmpquxbu",
    "cancel": "https://api.replicate.com/v1/predictions/t6nhwatb7ph3ublql5tmpquxbu/cancel"
  },
  "version": "1e918ab6ffd5872c21fba21a511f344fd12ac0edff6302c9cd260395c7707ff4"
}

Generated in

4.0 seconds

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