Patrick Gawron
Date 2026-07-20 Read 1 min

Best Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek

Interactive VRAM calculator - which open models fit a 24GB card in 2026, sized with the real Unsloth GGUF file sizes for Qwen3.6, Gemma 4, Mistral Small, and gpt-oss.

Local LLM fit check

Will it fit on my GPU?

Pick your card, an Unsloth dynamic quant, and a context length. The bars use the real GGUF file sizes from Unsloth's repos - not a formula - plus a KV-cache and runtime term. It answers "will it load," not a full production profile.

GPU / VRAM

Unsloth quant

Context length

24 GB usable budget - bars turn amber past 22 GB, red past 24 GB.

How the estimate works. VRAM ≈ GGUF file size + KV-cache[context] + ~1 GB runtime. Weight sizes are the actual file sizes of Unsloth dynamic (UD) GGUFs - so MoE models are already counted at total size (every expert lives in the file). KV cache assumes GQA at fp16 and is a rough per-tier term, so treat tight fits as "close, benchmark it." gpt-oss ships natively MXFP4, so its quants barely change size.