Why Uncensored pressures system RAM
Uncensored is a dense 24B network — every weight participates each token, so quantization choice dominates. Q4_K_M lands near ~13.5GB weights, plus ~0.06GB KV at 8K and ~6GB overhead (~19.6GB → 32GB kit). The 128K-token context ceiling is the sleeper cost: long-doc or agent traces inflate KV while the 24B slab stays fixed. Prefer dual-channel DDR5 bandwidth when CPU offload or mmap is involved.
What RAM kit to buy
A 32GB dual-channel kit is enough for quantized Uncensored at modest context. Still prefer 2× matched SO-DIMM/UDIMM sticks; 1x RTX 3090 or RTX 4090 (24GB VRAM) covers the Flagship Consumer GPU GPU profile. If you chat with long pastes, jump a tier before the KV cache forces paging.
Workload notes
For Cognitive Computations's Uncensored, treat published parameter counts as the weight floor and add OS + KV + runtime overhead before shopping kits. At 24B, Uncensored is a practical mid-size local model — sweet spot for single-GPU Q4/Q8 experimenters who still want headroom for IDE + Docker. Release window noted as 2025/2026; always re-check the model card before buying hardware for a specific checkpoint.