DeepSeek

Deepseek Coder 1.3B

DeepSeek·1.3B·DeepSeek·16K ctx·2026-08

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

Model size→Hardware requirement→Actual fit

Deepseek Coder 1.3B needs ~2–2.6 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

2.6
8
Q8_0 · Est. ~15 tok/sComfortable

12 GB

RTX 4070 · 3060 12G

2.6
12
Q8_0 · Est. ~26 tok/sComfortable

16 GB

RTX 4080 · M-series 16G

2.6
16
Q8_0 · Est. ~40 tok/sComfortable

24 GB

RTX 4090 · 3090

2.6
24
Q8_0 · Est. ~61 tok/sComfortable

48 GB

A6000 · 2×24G

2.6
48
Q8_0 · Est. ~61 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M0.8 GB2 GB
Q5_K_M0.9 GB2.1 GB
Q8_01.4 GB2.6 GB

03  — Runtimes & use

llama.cpp · Ollama · LM Studio

General · Coding · 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.