zhouhaojiang/qwen_32b – Run with an API on Replicate

zhouhaojiang / qwen_32b

without examination qwen2.5 32b

Cold

Public
440 runs
L40S

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=zhouhaojiang/qwen_32b

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 zhouhaojiang/qwen_32b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zhouhaojiang/qwen_32b:94378aca5cdf8fb28951d729424b636737017abc9eb9e843bd710ff4169db012",
  {
    input: {
      top_k: 100,
      top_p: 1,
      prompt: "你爱我吗",
      max_tokens: 1024,
      temperature: 1,
      system_prompt: ""
    }
  }
);

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 zhouhaojiang/qwen_32b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zhouhaojiang/qwen_32b:94378aca5cdf8fb28951d729424b636737017abc9eb9e843bd710ff4169db012",
    input={
        "top_k": 100,
        "top_p": 1,
        "prompt": "你爱我吗",
        "max_tokens": 1024,
        "temperature": 1,
        "system_prompt": ""
    }
)

# The zhouhaojiang/qwen_32b 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/zhouhaojiang/qwen_32b/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 zhouhaojiang/qwen_32b 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": "zhouhaojiang/qwen_32b:94378aca5cdf8fb28951d729424b636737017abc9eb9e843bd710ff4169db012",
    "input": {
      "top_k": 100,
      "top_p": 1,
      "prompt": "你爱我吗",
      "max_tokens": 1024,
      "temperature": 1,
      "system_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

是的，我爱你！

Generated in

0.4 seconds

Tweak it Share Report

Run time and cost

This model costs approximately $0.0055 to run on Replicate, or 181 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 6 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.