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kcaverly /neuralbeagle14-7b-gguf:4c5eaa79
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run kcaverly/neuralbeagle14-7b-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"kcaverly/neuralbeagle14-7b-gguf:4c5eaa791be134c9711ea3a93e62f699540f733fd83c3a2d3df21be42dbdda25",
{
input: {
temperature: 0.5,
system_prompt: "You are 'Neural-Beagle', an AI assistant and your purpose and drive is to assist the user with any request they have.",
max_new_tokens: 512,
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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run kcaverly/neuralbeagle14-7b-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"kcaverly/neuralbeagle14-7b-gguf:4c5eaa791be134c9711ea3a93e62f699540f733fd83c3a2d3df21be42dbdda25",
input={
"temperature": 0.5,
"system_prompt": "You are 'Neural-Beagle', an AI assistant and your purpose and drive is to assist the user with any request they have.",
"max_new_tokens": 512,
"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/neuralbeagle14-7b-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/neuralbeagle14-7b-gguf/api#output-schema
print(item, end="")
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run kcaverly/neuralbeagle14-7b-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": "kcaverly/neuralbeagle14-7b-gguf:4c5eaa791be134c9711ea3a93e62f699540f733fd83c3a2d3df21be42dbdda25",
"input": {
"temperature": 0.5,
"system_prompt": "You are \'Neural-Beagle\', an AI assistant and your purpose and drive is to assist the user with any request they have.",
"max_new_tokens": 512,
"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.
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Output
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