QuoteQuad-Channel
It's dual-channel (2*64bit) (as are all consumer PCs, if we define "consumer"=128bit), we all wish it was quad-channel RAM, but quad-channel RAM, as of this writing, is currently only reserved to entry level workstations, Apple M Pro and the new Strix Halo APU, which unfortunately uses the old iGPU RDNA 3.5 architecture, instead of RDNA 4: booo.
If it was quad-channel, "61143 MB/s" would be roughly doubled, you can even calculate it:
128bit * 5600MT/s / 1000 / 8 = 89.6 GB/s (theoretically) * 0.7 = 62.72 GB/s (practically)
And now same calculation with 4*64bit aka quad-channel:
256bit * 5600MT/s / 1000 / 8 = 256 GB/s (theoretically) * 0.7 = 179.2 GB/s (practically).
The higher the GB/s value, the faster your local AI / LLMs will run.
LLMs:
huggingface.co/unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF
huggingface.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF
huggingface.co/openai/gpt-oss-20b (from the ChatGPT makers) (Downloads last month 6,749,481 and you never heard of it?) (they also have gpt-oss-120b)
huggingface.co/unsloth/gpt-oss-20b-GGUF (same but the GGUF format allows to run not only on GPU, but if you don't have enough VRAM, to also partially or fully offload to RAM)
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