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Is 16GB VRAM enough for DeepSeek 14B GGUF Q4_K_M?

 
Local LLMs & Hardware Setup
Last Post by NvidiaFan99 1 month ago
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 NvidiaFan99
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Topic starter 24/08/2026 3:53 pm   [#4]

quick question guys before i upgrade my GPU... will a RTX 4060 Ti 16GB run DeepSeek R1 14B Q4 smoothly with 8k context or should i save up for a used 3090 24GB?


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 Mark Hardware Guru
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24/08/2026 3:58 pm  

16GB will fit 14B Q4 easily with around 45 tokens/sec on llama.cpp. but if u wanna use 16k context or 32B quant then definitely get the used 3090 24gb, VRAM is king for LLMs.



   
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 NvidiaFan99
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Topic starter 24/08/2026 4:03 pm  

thanks Mark! yeah I might just look for a good 3090 deal to be future proof for 32b models.



   
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