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Can AMD Instinct MI300X run RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16?

Runs Q4192GB VRAM availableRequires 34GB+

AMD Instinct MI300X meets the minimum VRAM requirement for Q4 inference of RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Instinct MI300X can run RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 with Q4 quantization. At approximately 276 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 158GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q434GB192GB275.67 tok/s✅ Fits comfortably
Q868GB192GB197.32 tok/s✅ Fits comfortably
FP16137GB192GB95.73 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
234.06 tok/s
Price: —
AMD Instinct MI250X
128GB
174.81 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
174.44 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
172.72 tok/s
Price: —
AMD Instinct MI250X
128GB
123.28 tok/s
Price: —

More questions

AMD Instinct MI300X specs & pricingFull guide for RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 speed on AMD Instinct MI300XRedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 Q4 requirements