Gemma 3 27B Instruct at Q4_K_M needs 25.4 GB once weights, KV cache at 8K context and framework overhead are counted. 16GB RAM, no graphics card offers 0 GB, leaving you 25.4 GB short. 128 GB of unified memory leaves about 96 GB for a model after the OS takes its share, which holds Gemma 3 27B Instruct at Q4_K_M.
128 GB of unified memory leaves about 96 GB for a model after the OS takes its share, which holds Gemma 3 27B Instruct at Q4_K_M.
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Your machine is not exactly this one. Run this for your exact setup — the form opens pre-filled with 16GB RAM, no graphics card and Gemma 3 27B Instruct.
Not as it stands. Gemma 3 27B Instruct needs 25.4 GB at Q4_K_M and this machine has 0 GB available, a shortfall of 25.4 GB. 128 GB of unified memory leaves about 96 GB for a model after the OS takes its share, which holds Gemma 3 27B Instruct at Q4_K_M.
With no GPU to hold any of the model, more system RAM would let it load but it would run entirely on the CPU — too slow to use for anything interactive. The bottleneck here is the missing GPU, not the memory.
DDR5 kit prices are roughly 3-4x their mid-2025 level, and the shortage is expected to run into 2027. Relief is not expected before 2027-Q4. The current estimate for relief is 2027-Q4. If you can run this some other way meanwhile, waiting is defensible; if you cannot, the part still does the job today.
Yes, and it is the figure people forget. The 25.4 GB above already includes the KV cache at 8K; that cache grows roughly linearly with context, so doubling the window adds real gigabytes rather than a rounding error. If you plan to work with long documents on 16GB RAM, no graphics card, size for the context you will actually use, not the default.
Data behind this page last checked 2026-08-26.