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Can I run gpt-oss 20B (MoE, MXFP4) locally?

OpenAI · 20.9B parameters (3.6B active) · chat, reasoning, coding.

Ollama weight files: MXFP4 14 GB (gpt-oss:20b).

Yes on 55 machines in this list. The smallest is RTX 3060 Ti 8GB: MXFP4, about 15.1 GB, roughly 14 tokens per second, via Ollama. ollama run gpt-oss:20b

Setup on DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)

Open gpt-oss 20B (MoE, MXFP4) in the checker

Hardware that fits

HardwareRuntimeQuantMemoryFitSpeedCommand
RTX 3060 Ti 8GBOllamaMXFP415.1 GBpartial offload (slower)~14 tok/sollama run gpt-oss:20b
RTX 3070 8GBOllamaMXFP415.1 GBpartial offload (slower)~14 tok/sollama run gpt-oss:20b
RTX 4060 8GBOllamaMXFP415.1 GBpartial offload (slower)~13 tok/sollama run gpt-oss:20b
RX 7600 8GBOllamaMXFP415.1 GBpartial offload (slower)~13 tok/sollama run gpt-oss:20b
RTX 3080 10GBOllamaMXFP415.1 GBpartial offload (slower)~19 tok/sollama run gpt-oss:20b
RTX 3060 12GBOllamaMXFP415.1 GBpartial offload (slower)~22 tok/sollama run gpt-oss:20b
RTX 4070 12GBOllamaMXFP415.1 GBpartial offload (slower)~24 tok/sollama run gpt-oss:20b
RTX 5070 12GBOllamaMXFP415.1 GBpartial offload (slower)~26 tok/sollama run gpt-oss:20b
RTX 4060 Ti 16GBOllamaMXFP415.1 GBfits in fast memory~36 tok/sollama run gpt-oss:20b
RTX 4070 Ti Super 16GBOllamaMXFP415.1 GBfits in fast memory~84 tok/sollama run gpt-oss:20b
RTX 4080 16GBOllamaMXFP415.1 GBfits in fast memory~89 tok/sollama run gpt-oss:20b
RTX 5080 16GBOllamaMXFP415.1 GBfits in fast memory~119 tok/sollama run gpt-oss:20b
RX 7800 XT 16GBOllamaMXFP415.1 GBfits in fast memory~78 tok/sollama run gpt-oss:20b
RX 9070 XT 16GBOllamaMXFP415.1 GBfits in fast memory~80 tok/sollama run gpt-oss:20b
M2 24GBOllamaMXFP415.1 GBfits in fast memory~17 tok/sollama run gpt-oss:20b
M3 24GBOllamaMXFP415.1 GBfits in fast memory~17 tok/sollama run gpt-oss:20b
M4 24GBOllamaMXFP415.1 GBfits in fast memory~20 tok/sollama run gpt-oss:20b
RTX 3090 24GBOllamaMXFP415.1 GBfits in fast memory~116 tok/sollama run gpt-oss:20b
RTX 4090 24GBOllamaMXFP415.1 GBfits in fast memory~125 tok/sollama run gpt-oss:20b
RX 7900 XTX 24GBOllamaMXFP415.1 GBfits in fast memory~119 tok/sollama run gpt-oss:20b
M1 Pro 32GBOllamaMXFP415.1 GBfits in fast memory~33 tok/sollama run gpt-oss:20b
M2 Pro 32GBOllamaMXFP415.1 GBfits in fast memory~33 tok/sollama run gpt-oss:20b
M4 32GBOllamaMXFP415.1 GBfits in fast memory~20 tok/sollama run gpt-oss:20b
M3 Pro 36GBOllamaMXFP415.1 GBfits in fast memory~25 tok/sollama run gpt-oss:20b
Mac Studio M4 Max (32c GPU) 36GBOllamaMXFP415.1 GBfits in fast memory~68 tok/sollama run gpt-oss:20b
Mac Studio M5 Max (32c GPU) 36GBOllamaMXFP415.1 GBfits in fast memory~76 tok/sollama run gpt-oss:20b
RTX 5090 32GBOllamaMXFP415.1 GBfits in fast memory~223 tok/sollama run gpt-oss:20b
M4 Pro 48GBOllamaMXFP415.1 GBfits in fast memory~45 tok/sollama run gpt-oss:20b
Mac Studio M4 Max (40c GPU) 48GBOllamaMXFP415.1 GBfits in fast memory~91 tok/sollama run gpt-oss:20b
Mac Studio M5 Max (40c GPU) 48GBOllamaMXFP415.1 GBfits in fast memory~102 tok/sollama run gpt-oss:20b
M1 Max 64GBOllamaMXFP415.1 GBfits in fast memory~66 tok/sollama run gpt-oss:20b
M2 Max 64GBOllamaMXFP415.1 GBfits in fast memory~66 tok/sollama run gpt-oss:20b
M3 Max 64GBOllamaMXFP415.1 GBfits in fast memory~66 tok/sollama run gpt-oss:20b
M4 Max 64GBOllamaMXFP415.1 GBfits in fast memory~91 tok/sollama run gpt-oss:20b
Mac Studio M4 Max (40c GPU) 64GBOllamaMXFP415.1 GBfits in fast memory~91 tok/sollama run gpt-oss:20b
Mac Studio M5 Max (40c GPU) 64GBOllamaMXFP415.1 GBfits in fast memory~102 tok/sollama run gpt-oss:20b
DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte)OllamaMXFP415.1 GBfits in fast memory~65 tok/sollama run gpt-oss:20b
Mac Studio M3 Ultra 96GBOllamaMXFP415.1 GBfits in fast memory~136 tok/sollama run gpt-oss:20b
Mac Studio M5 Ultra 96GBOllamaMXFP415.1 GBfits in fast memory~199 tok/sollama run gpt-oss:20b
M3 Max 128GBOllamaMXFP415.1 GBfits in fast memory~66 tok/sollama run gpt-oss:20b
M4 Max 128GBOllamaMXFP415.1 GBfits in fast memory~91 tok/sollama run gpt-oss:20b
Mac Studio M4 Max (40c GPU) 128GBOllamaMXFP415.1 GBfits in fast memory~91 tok/sollama run gpt-oss:20b
Mac Studio M5 Max (40c GPU) 128GBOllamaMXFP415.1 GBfits in fast memory~102 tok/sollama run gpt-oss:20b
DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)OllamaMXFP415.1 GBfits in fast memory~65 tok/sollama run gpt-oss:20b
M2 Ultra 192GBOllamaMXFP415.1 GBfits in fast memory~133 tok/sollama run gpt-oss:20b
2x Mac Studio M5 Max (40c GPU) 128GBllama.cppQ5_K_M GGUF12.8 GBfits in fast memory~103 tok/sllama-server -hf unsloth/gpt-oss-20b-GGUF:Q5_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node
Mac Studio M3 Ultra 256GBOllamaMXFP415.1 GBfits in fast memory~136 tok/sollama run gpt-oss:20b
Mac Studio M5 Ultra (64c GPU) 256GBOllamaMXFP415.1 GBfits in fast memory~199 tok/sollama run gpt-oss:20b
Mac Studio M5 Ultra (80c GPU) 256GBOllamaMXFP415.1 GBfits in fast memory~199 tok/sollama run gpt-oss:20b
2x DGX Spark 128GBllama.cppQ5_K_M GGUF12.8 GBfits in fast memory~66 tok/sllama-server -hf unsloth/gpt-oss-20b-GGUF:Q5_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node
4x Mac Studio M5 Max (40c GPU) 128GBllama.cppQ5_K_M GGUF12.8 GBfits in fast memory~91 tok/sllama-server -hf unsloth/gpt-oss-20b-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node
2x Mac Studio M5 Ultra (80c GPU) 256GBllama.cppQ5_K_M GGUF12.8 GBfits in fast memory~202 tok/sllama-server -hf unsloth/gpt-oss-20b-GGUF:Q5_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node
Mac Studio M3 Ultra (80c GPU) 512GBOllamaMXFP415.1 GBfits in fast memory~136 tok/sollama run gpt-oss:20b
4x DGX Spark 128GBllama.cppQ5_K_M GGUF12.8 GBfits in fast memory~58 tok/sllama-server -hf unsloth/gpt-oss-20b-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node
4x Mac Studio M5 Ultra (80c GPU) 256GBllama.cppQ5_K_M GGUF12.8 GBfits in fast memory~178 tok/sllama-server -hf unsloth/gpt-oss-20b-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node

Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-16.

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