16gb vram

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Illustration for running Qwen3.8 Flash Next locally: a small graphics card working alongside system RAM and an SSD

Run Qwen3.8 Flash Next locally: the 8GB, 12GB, 16GB and 24GB setups that work (Nov 2026)

A 125B model on a gaming card sounds wrong. Flash Next uses only 6B parameters per token, so the experts can live in system RAM and the n-gram table on your SSD. What each card size needs, which quants people run, and where the quality argument stands.

Aliteq Team · Nov 1, 2026 · 11 min

Line-art illustration on a dark background next to the headline: Qwen3.8 27B needs VRAM by quant, and the 16GB squeeze. A card reads Reddit pick: 10-16GB #1 (r/LocalLLaMA).

Qwen3.8 27B Hardware Requirements: VRAM by Quant, How 16 GB Owners Run It, and Why It Can Disappoint

A 24 GB card runs Qwen3.8 27B at Q4 or Q5, and 32 GB runs Q6 with room to spare. 16 GB works too, at a 3-bit quant with a squeezed cache. Here is the math, what Reddit owners report, and what to check when it codes badly.

Aliteq Team · Updated Nov 1, 2026 · 12 min

AMD Radeon RX 9070 XT graphics card box next to a 360mm liquid cooling radiator

Deals

AMD is basically giving away an $89 cooler with this 16GB GPU — the local-AI math actually works

a limited-time Newegg bundle drops the effective price of a 16GB RX 9070 XT to $659 — here's whether that's actually a good local-AI buy

Aliteq Team · Updated Aug 5, 2026 · 5 min

Night line-art illustration next to the headline: 16GB just got bigger From gpt-oss-20b to Qwen3.8 27B. A card reads gpt-oss-20b on 16GB: 32K context (our VRAM engine).

16GB GPU? Which local AI models fit now, from gpt-oss-20b to Qwen3.8 27B (Nov 2026)

16GB used to stop at 14B models. Now gpt-oss-20b fits with 32K of context, and Qwen3.8 27B fits at a 3-bit quant. Here is what runs on an RTX 5060 Ti, 4060 Ti or 5070 Ti, on our numbers, and when system RAM takes you further.

Aliteq Team · Updated Nov 1, 2026 · 8 min