DeepSeek
Deepseek R 1 70B
DeepSeek·70B·DeepSeek·128K ctx·2026-08
Model size→Hardware requirement→Actual fit
Deepseek R 1 70B needs ~44.2–52 GB of VRAM depending on quantization. The bar is what it needs; the marker is the card's VRAM. Speed figures below are planning estimates.
8 GB
RTX 4060 · 3060 Ti
44.28
Q4_K_M · Est. ~1 tok/sWon't run
12 GB
RTX 4070 · 3060 12G
44.212
Q4_K_M · Est. ~1 tok/sWon't run
16 GB
RTX 4080 · M-series 16G
44.216
Q4_K_M · Est. ~1 tok/sWon't run
24 GB
RTX 4090 · 3090
44.224
Q4_K_M · Est. ~6 tok/sSlow · CPU offload
48 GB
A6000 · 2×24G
44.248
Q4_K_M · Est. ~40 tok/sComfortable
02 — Quantizations
QuantFile sizeEst. VRAM
Q4_K_M43 GB44.2 GB
Q5_K_M50.8 GB52 GB
03 — Runtimes & use
llama.cpp · Ollama · LM Studio
General · Reasoning · Max intelligence
Memory and speed figures are planning estimates, not measured benchmarks. Memory includes a fixed allowance for KV cache and runtime overhead. Long-context prompts push VRAM use above the numbers shown here.