DeepSeek

Deepseek Llm 7B

DeepSeek·7B·DeepSeek·4K ctx·2026-08

Check on my hardwareAdd to compare →Ollama →Hugging Face →

Model size→Hardware requirement→Actual fit

Deepseek Llm 7B needs ~5.2–8.8 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

5.9
8
Q5_K_M · Est. ~20 tok/sComfortable

12 GB

RTX 4070 · 3060 12G

8.8
12
Q8_0 · Est. ~23 tok/sComfortable

16 GB

RTX 4080 · M-series 16G

8.8
16
Q8_0 · Est. ~36 tok/sComfortable

24 GB

RTX 4090 · 3090

8.8
24
Q8_0 · Est. ~56 tok/sComfortable

48 GB

A6000 · 2×24G

8.8
48
Q8_0 · Est. ~56 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M4 GB5.2 GB
Q5_K_M4.7 GB5.9 GB
Q8_07.6 GB8.8 GB

03  — Runtimes & use

llama.cpp · Ollama · LM Studio

General · Fast

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.