L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can AMD Radeon Pro W7900 run mlx-community/gpt-oss-20b-MXFP4-Q8?

Runs Q448GB VRAM availableRequires 10GB+

AMD Radeon Pro W7900 meets the minimum VRAM requirement for Q4 inference of mlx-community/gpt-oss-20b-MXFP4-Q8. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Radeon Pro W7900 can run mlx-community/gpt-oss-20b-MXFP4-Q8 with Q4 quantization. At approximately 83 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 38GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q410GB48GB83.21 tok/s✅ Fits comfortably
Q820GB48GB59.89 tok/s✅ Fits comfortably
FP1641GB48GB28.43 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
407.66 tok/s
Price: —
AMD Instinct MI300X
192GB
388.96 tok/s
Price: —
AMD Instinct MI300X
192GB
302.29 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
290.94 tok/s
Price: —
AMD Instinct MI250X
128GB
288.22 tok/s
Price: —

More questions

AMD Radeon Pro W7900 specs & pricingFull guide for mlx-community/gpt-oss-20b-MXFP4-Q8mlx-community/gpt-oss-20b-MXFP4-Q8 speed on AMD Radeon Pro W7900mlx-community/gpt-oss-20b-MXFP4-Q8 Q4 requirements