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kcaverly /deepseek-coder-33b-instruct-gguf:ea964345
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/deepseek-coder-33b-instruct-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"kcaverly/deepseek-coder-33b-instruct-gguf:ea964345066a8868e43aca432f314822660b72e29cab6b4b904b779014fe58fd",
{
input: {
temperature: 0.8,
system_prompt: "You are an AI programming assistant, utilizing the Deepseek Code model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.",
max_new_tokens: -1,
repeat_penalty: 1.1,
prompt_template: "{system_prompt}/n### Instruction: {prompt}/n### Response: "
}
}
);
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/deepseek-coder-33b-instruct-gguf using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"kcaverly/deepseek-coder-33b-instruct-gguf:ea964345066a8868e43aca432f314822660b72e29cab6b4b904b779014fe58fd",
input={
"temperature": 0.8,
"system_prompt": "You are an AI programming assistant, utilizing the Deepseek Code model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.",
"max_new_tokens": -1,
"repeat_penalty": 1.1,
"prompt_template": "{system_prompt}/n### Instruction: {prompt}/n### Response: "
}
)
# The kcaverly/deepseek-coder-33b-instruct-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/deepseek-coder-33b-instruct-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/deepseek-coder-33b-instruct-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": "ea964345066a8868e43aca432f314822660b72e29cab6b4b904b779014fe58fd",
"input": {
"temperature": 0.8,
"system_prompt": "You are an AI programming assistant, utilizing the Deepseek Code model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.",
"max_new_tokens": -1,
"repeat_penalty": 1.1,
"prompt_template": "{system_prompt}/n### Instruction: {prompt}/n### Response: "
}
}' \
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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