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Can AMD Instinct MI300X run context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16?

Runs Q4192GB VRAM availableRequires 2GB+

AMD Instinct MI300X meets the minimum VRAM requirement for Q4 inference of context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16. 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 context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 with Q4 quantization. At approximately 923 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 190GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB192GB923.44 tok/s✅ Fits comfortably
Q83GB192GB638.78 tok/s✅ Fits comfortably
FP166GB192GB346.73 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
745.55 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
573.48 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
540.74 tok/s
Price: —
AMD Instinct MI250X
128GB
524.21 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
413.68 tok/s
Price: —

More questions

AMD Instinct MI300X specs & pricingFull guide for context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 speed on AMD Instinct MI300Xcontext-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 Q4 requirements