Can an NVIDIA GeForce RTX 4080 run DeepSeek-R1?
No. DeepSeek-R1 needs 405.6GB at Q4_K_M with llama.cpp and 8K context; the NVIDIA GeForce RTX 4080 has 16GB of VRAM (15.5GB usable) — it does not fit, even with CPU offload.
NVIDIA GeForce RTX 4080 · DeepSeek-R1 · Q4_K_M
❌ Won't fit
betaMLA memory formula — beta, not yet calibrated
weights 404.4 GBKV cache 0.58 GBoverhead 0.58 GBpool 15.5 GBneeds 405.6 GB — over the pool
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
No quant of this model fits cleanly on this hardware with llama-cpp at this context — a smaller model or more memory is the real fix.
$1,199 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 4080 × DeepSeek-R1, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 713.3 GB | Won't fit | |
| Q6_K | 550.8 GB | Won't fit | |
| Q5_K_M | 475.4 GB | Won't fit | |
| Q4_K_M | 404.4 GB | Won't fit |
DeepSeek-R1 on similar hardware
More models on the NVIDIA GeForce RTX 4080
Verdict computed from published specs and measured GGUF file sizes — see how the math works.