Meta

Llama 3.2 1B

Meta·1B·LLaMA·128K ctx·2026-08

Model sizeHardware requirementActual fit

Llama 3.2 1B needs ~2.5–3.7 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

3.7
8
Q8_0 · Est. ~14 tok/sComfortable

12 GB

RTX 4070 · 3060 12G

3.7
12
Q8_0 · Est. ~25 tok/sComfortable

16 GB

RTX 4080 · M-series 16G

3.7
16
Q8_0 · Est. ~39 tok/sComfortable

24 GB

RTX 4090 · 3090

3.7
24
Q8_0 · Est. ~60 tok/sComfortable

48 GB

A6000 · 2×24G

3.7
48
Q8_0 · Est. ~60 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M1.3 GB2.5 GB
Q5_K_M1.5 GB2.7 GB
Q8_02.5 GB3.7 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.