Does It Run Local?

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MODEL COMPARISON

Qwen3-14B vs gpt-oss-20b

Qwen3-14B needs less memory: about 13 GB versus about 16 GB for gpt-oss-20b, a difference of 3 GB. Qwen3-14B has one runtime in release (Ollama). gpt-oss-20b has one runtime in release (Ollama).

SIDE BY SIDE

CompareQwen3-14Bgpt-oss-20b
Memory neededabout 13 GB · Up to 16 GBabout 16 GB · Up to 16 GB
Recommended quantQ4_K_M · 9.0 GBQ4_K_M · 11.6 GB
llama.cpp supportArchitecture listedChecked 22 Oct 2026Architecture listedChecked 22 Oct 2026
Ollama supportReleasedChecked 22 Oct 2026ReleasedChecked 22 Oct 2026
LM Studio supportUpload availableChecked 22 Oct 2026Upload availableChecked 22 Oct 2026
MLX / mlx-lm supportUpload availableChecked 22 Oct 2026Upload availableChecked 22 Oct 2026
vLLM supportArchitecture listedChecked 22 Oct 2026Architecture listedChecked 22 Oct 2026
On Hugging Face since27 Apr 202504 Aug 2025
LicenseNot recorded in this snapshot — see the model card ↗Not recorded in this snapshot — see the model card ↗
PublisherQwenopenai
Downloads9.2M5.8M
Model pageOpen Qwen3-14B ↗Open gpt-oss-20b ↗
Fits these setups
  • Mac 16 GBTight
  • Mac 24 GBRuns well
  • Mac 32 GBRuns well
  • Mac 64 GBRuns well
  • GPU 8 GB + 32 GB RAMTight
  • GPU 12 GB + 32 GB RAMTight
  • GPU 16 GB + 32 GB RAMRuns well
  • GPU 24 GB + 64 GB RAMRuns well
  • CPU 32 GBRuns well
  • CPU 64 GBRuns well
  • Mac 16 GBWon't fit
  • Mac 24 GBRuns well
  • Mac 32 GBRuns well
  • Mac 64 GBRuns well
  • GPU 8 GB + 32 GB RAMTight
  • GPU 12 GB + 32 GB RAMTight
  • GPU 16 GB + 32 GB RAMRuns well
  • GPU 24 GB + 64 GB RAMRuns well
  • CPU 32 GBRuns well
  • CPU 64 GBRuns well

Memory needed is the same estimate shown on each model page: the recommended observed file plus 20% headroom and a 1.5 GB runtime allowance. See which setups fit →

These are estimates from observed file sizes, not benchmarks. They don’t account for long contexts or the KV cache, and fitting does not establish runtime compatibility or speed.