OpenAI GPT OSS - AI Language Models Tool
Overview
OpenAI GPT OSS is an open-source family of large language models, including gpt-oss-120b (117B) and gpt-oss-20b (21B). The models use mixture-of-experts and MXFP4 4-bit quantization, offering chain-of-thought reasoning and tool use support optimized for inference on modern GPUs.
Key Features
- Two models: gpt-oss-120b (117B) and gpt-oss-20b (21B)
- Mixture-of-experts (MoE) architecture
- MXFP4 4-bit quantization for reduced memory and faster inference
- Powerful reasoning and chain-of-thought capabilities
- Tool use support for agentic workflows
- Optimized for GPUs from data-center H100s to consumer hardware
Ideal Use Cases
- Researching large-scale language model behavior
- Developing chain-of-thought reasoning agents
- Building tool-enabled conversational agents
- Inference benchmarking on diverse GPU hardware
- Experimenting with MoE and quantization techniques
Getting Started
- Open the Hugging Face blog post linked in the URL
- Review model descriptions, release notes, and links on the blog page
- Follow linked model pages or repositories for download and instructions
- Prepare a compatible GPU environment for MoE and MXFP4 inference
Pricing
Not disclosed
Limitations
- Large model sizes require substantial compute and memory
- MoE and MXFP4 may need specialized inference toolchains and optimizations
Key Information
- Category: Language Models
- Type: AI Language Models Tool