text-gen 20B params

mlx-community/gpt-oss-20b-MXFP4-Q8

mlx-community/gpt-oss-20b-MXFP4-Q8

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Hardware Recommendations

Three tiers based on VRAM requirements: minimum for basic inference, comfortable for longer contexts, headroom for future model sizes.

Minimum $599

Apple Mac mini (M4, 16GB)

16GB unified 25W TDP

Runs 20B at Q4_K_M quantization with 4K context.

Comfortable $799

Apple Mac mini (M4, 24GB)

24GB unified 25W TDP

Runs 20B at Q5_K_M quantization with 8K+ context.

Headroom $3,999

Apple Mac Studio (M4 Max, 64GB)

64GB unified 85W TDP

Runs 20B at FP16 with 32K+ context or comfortably handles the next size up.

VRAM Requirements

Quantization VRAM Use case
Q4_K_M 14 GB Basic inference, 4K context
Q5_K_M 17 GB Good quality, 8K+ context
Q8 26 GB Near-lossless, 16K+ context
FP16 50 GB Full precision, max quality

Formula: params × bytes_per_param × 1.2 overhead + 2 GB base. Actual requirements vary by framework and context length.