GPTOSS - GPT OSS Information Platform

OpenAI's Latest Open Source Model Complete Information Center

GPT OSS (also commonly written as GPTOSS) is OpenAI's latest open source AI model. Use it directly below!

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What is GPT OSS?

Learn about GPT OSS (GPTOSS) core concepts and technical features

Next Generation Open Source AI Model

GPT OSS (GPTOSS) is OpenAI's upcoming latest open source language model, representing the latest breakthrough in artificial intelligence technology. As the newest member of the GPT series, GPT OSS shows significant improvements in natural language processing, code generation, and multimodal understanding.

120B MoE Architecture

120 billion parameter Mixture-of-Experts model with Llama and Mixtral architecture

Advanced Training Technology

Float4 training with Blackwell chips and SwiGLU clipping

128K Context Window

128K context via YaRN with sliding window and attention sinks

Open Source and Free

No registration required, direct access to latest AI technology

Privacy Focused

Local processing, ensuring data security and privacy

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GPT OSS Architecture

120B MoE neural network with advanced training

Why Choose GPT OSS?

Why choose GPT OSS as your AI solution

Cutting Edge Technology

Based on OpenAI's latest research, GPTOSS uses the most advanced transformer architecture, showing excellent performance in various benchmark tests.

Community Support

Large developer community providing rich tutorials, tools, and support to help you get started quickly and solve problems.

Secure & Reliable

Strict security testing and privacy protection measures ensure your data security, letting you use AI technology with confidence.

How GPT OSS Works

GPT OSS working principles and usage process

1

Get Access

Visit GPT OSS Information Platform for latest information and usage guides

2

Understand Features

Learn about GPT OSS features and technical characteristics in detail

3

Setup Environment

Prepare development and runtime environment according to guides

4

Start Using

Start using GPT OSS for various AI tasks

GPT OSS Technical Specifications

GPTOSS detailed technical architecture and specifications

120B MoE Architecture

120 billion parameter Mixture-of-Experts model combining Llama and Mixtral architecture designs

  • • Hybrid architecture approach
  • • Efficient parameter utilization
  • • Scalable expert system

Float4 Training

Advanced 4-bit floating point training technology powered by Blackwell chips

  • • Blackwell chip optimization
  • • Reduced memory footprint
  • • Enhanced training speed

SwiGLU Clipping

Advanced SwiGLU activation function with intelligent clipping mechanisms

  • • Improved gradient flow
  • • Better numerical stability
  • • Enhanced model performance

128K Context Window

Extended 128K token context window implemented via YaRN technology

  • • YaRN implementation
  • • Long document processing
  • • Extended context understanding

Sliding Window

Efficient sliding window attention mechanism for optimized memory usage

  • • Memory-efficient attention
  • • Linear scaling complexity
  • • Optimized for long sequences

Attention Sinks

Advanced attention sink mechanisms for improved long-range dependency modeling

  • • Long-range dependencies
  • • Context preservation
  • • Enhanced coherence

GPT OSS Core Features

GPTOSS core features and capabilities

Multi-language Support

Supports text generation and understanding in multiple languages including English, Chinese, Japanese, etc.

Code Generation

Generates high-quality code supporting multiple programming languages and frameworks.

Data Analysis

Powerful data analysis and processing capabilities to help you gain insights from data.

Creative Generation

Helps generate creative content including articles, poetry, marketing copy, and more.

Learning Assistant

Acts as a learning assistant to help explain complex concepts and provide learning resources.

Highly Customizable

Can be customized and fine-tuned according to specific needs and application scenarios.

GPT OSS Code Examples

Get started with GPT OSS using your preferred programming language

JavaScript/Node.js

import OpenAI from 'openai';
const client = new OpenAI({
  baseURL: 'https://api.apinik.com', 
  apiKey: process.env.OPENAI_API_KEY, 
});

async function main() {
  try {
    const completion = await client.chat.completions.create({
      model: 'horizon-alpha',
      messages: [
        {
          role: 'system',
          content: 'You are a helpful assistant', 
        },
        {
          role: 'user',
          content: 'Write a Python function example', 
        },
      ],
      max_tokens: 1000,
      temperature: 0.7,
    });
    console.log(completion.choices[0].message.content);
  } catch (error) {
    console.error('Error:', error);
  }
}
main();

Python

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://api.apinik.com",
    api_key=os.getenv("OPENAI_API_KEY") 
)

try:
    completion = client.chat.completions.create(
        model="horizon-alpha",
        messages=[
            {"role": "system", "content": "You are a helpful assistant"},
            {"role": "user", "content": "Explain Python lists"}, 
        ],
        max_tokens=1000,
        temperature=0.7
    )
    print(completion.choices[0].message.content)
except Exception as error:
    print(f"Error: {error}")

cURL/REST API

curl https://api.apinik.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-d '{
  "model": "horizon-alpha",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant"
    },
    {
      "role": "user",
      "content": "Hello, how can you help me?"
    }
  ],
  "max_tokens": 1000,
  "temperature": 0.7
}'

Testimonials

Feedback and reviews from the AI community

A

Alex Chen

AI Researcher

"The emergence of GPT OSS marks a new era for open source AI models. Its performance and ease of use impress me greatly."

S

Sarah Johnson

Software Engineer

"As a developer, I really love GPT OSS's code generation capabilities. It has greatly improved my work efficiency."

M

Mike Wilson

Product Manager

"GPT OSS's multi-language support features help us better serve global users. This is a great tool."

GPT OSS FAQ

Frequently asked questions about GPT OSS

GPT OSS (GPTOSS) is still in development and no official release date has been announced yet. Please follow our website for the latest information.

Yes, GPT OSS will be provided free of charge to all users as an open source model, no registration or payment required.

GPT OSS supports various hardware configurations, from regular computers to high-performance servers. Specific requirements will be provided upon release.

Please follow our website, we will provide detailed usage guides and tutorials when GPT OSS is released.