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gpt-oss-120b

OpenAI's 120B parameter open-weight language model released under Apache 2.0 in 2025. Supports MXFP4 and 8-bit quantization for multi-GPU deployment via vLLM. Competitive on reasoning and instruction-following benchmarks within the open-weight tier.

Last reviewed

Use cases

  • Self-hosted chat assistants requiring large-model quality
  • Batch document processing on GPU clusters
  • Fine-tuning base for domain-specific applications
  • Research comparing open versus proprietary model behavior

Pros

  • Apache 2.0 license allows unrestricted commercial use
  • MXFP4 support reduces VRAM requirements at inference scale
  • vLLM compatible for high-throughput production serving

Cons

  • 120B scale requires 4–8 high-VRAM GPUs for full-precision inference
  • Text-only — no multimodal capability
  • Community fine-tunes and GGUF quants lag behind smaller popular models

FAQ

What is gpt-oss-120b used for?

Self-hosted chat assistants requiring large-model quality. Batch document processing on GPU clusters. Fine-tuning base for domain-specific applications. Research comparing open versus proprietary model behavior.

Is gpt-oss-120b free to use?

gpt-oss-120b is an open-source model published on HuggingFace. License terms vary by model — check the model card for the specific license.

How do I run gpt-oss-120b locally?

Most HuggingFace models can be loaded with transformers or the appropriate framework library. See the model card for framework-specific instructions and hardware requirements.

Tags

transformerssafetensorsgpt_osstext-generationvllmconversationalarxiv:2508.10925license:apache-2.0eval-resultsendpoints_compatible8-bitmxfp4deploy:azureregion:us