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OpenAI GPT OSS - AI Language Models Tool

Overview

OpenAI GPT OSS is an open-source family of large language models, offering gpt-oss-120b (117B parameters) and gpt-oss-20b (21B parameters). Built with mixture-of-experts (MoE) and MXFP4 4-bit quantization, these models emphasize strong reasoning, chain-of-thought, tool use support, and optimized fast inference on modern GPUs ranging from data-center H100s to consumer hardware.

Key Features

  • Open-source LLM family: gpt-oss-120b and gpt-oss-20b
  • Mixture-of-experts (MoE) architecture for efficient capacity scaling
  • MXFP4 4-bit quantization reduces memory and speeds inference
  • Strong chain-of-thought and reasoning capabilities
  • Tool use support for external integrations and agents
  • Optimized for fast inference on modern GPUs and consumer hardware

Ideal Use Cases

  • Research and development with open-source large language models
  • Self-hosted LLM deployments for privacy and control
  • Complex reasoning tasks that benefit from chain-of-thought
  • Agent workflows combining tools and model reasoning
  • High-throughput inference on GPU clusters or workstations

Getting Started

  • Read the Hugging Face blog post and model README at the project URL
  • Select gpt-oss-120b or gpt-oss-20b based on compute availability
  • Provision GPUs and install inference tooling that supports MXFP4 quantization
  • Download model files and follow supplied inference scripts
  • Run sample prompts, measure latency, and adjust batch sizes

Pricing

No pricing disclosed. Models are released open-source; hosting and compute costs depend on your chosen infrastructure and resources.

Limitations

  • Optimal performance may require modern GPUs or substantial compute resources
  • MoE architecture and MXFP4 quantization may need specialized inference tooling
  • Pricing and commercial support details are not disclosed

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
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