OpenAImoe

gpt-oss 20B

21B total / 3.6B active · load estimate uses total • 12.8GB VRAM (Q4 estimate) • 128,000 context

Estimate · Q4_K_M · 4k context · batch 1. For dense 7B–70B this sits ~5–8% above the Q4_K_M GGUF file. Not peak runtime VRAM and not a measured bench.

Native weights ship as MXFP4. The Q4_K_M figure is the shared formula on total parameters — not the MXFP4 pack size.

Specifications

Parameters

21B total / 3.6B active · load estimate uses total

VRAM (Q4 est.)

12.8 GB

VRAM (FP16)

42 GB

Context Window

128,000

Architecture

moe

License

Apache-2.0

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Run gpt-oss 20B on Mac Mini M4

~12.8GB VRAM needed at Q4. Mac Mini M4 has 16GB — buy hardware or rent cloud.

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OpenAImoe

gpt-oss 20B

21B total / 3.6B active · load estimate uses total • 12.8GB VRAM (Q4 estimate) • 128,000 context

Estimate · Q4_K_M · 4k context · batch 1. For dense 7B–70B this sits ~5–8% above the Q4_K_M GGUF file. Not peak runtime VRAM and not a measured bench.

Native weights ship as MXFP4. The Q4_K_M figure is the shared formula on total parameters — not the MXFP4 pack size.