Ollama library

Llava Phi 3 3.8B

Ollama library·3.8B·Phi·4K ctx·2026-08

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

Model size→Hardware requirement→Actual fit

Llava Phi 3 3.8B needs ~4.1–6.7 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

4.6
8
Q5_K_M · Est. ~20 tok/sComfortable

12 GB

RTX 4070 · 3060 12G

6.7
12
Q8_0 · Est. ~24 tok/sComfortable

16 GB

RTX 4080 · M-series 16G

6.7
16
Q8_0 · Est. ~37 tok/sComfortable

24 GB

RTX 4090 · 3090

6.7
24
Q8_0 · Est. ~58 tok/sComfortable

48 GB

A6000 · 2×24G

6.7
48
Q8_0 · Est. ~58 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M2.9 GB4.1 GB
Q5_K_M3.4 GB4.6 GB
Q8_05.5 GB6.7 GB

03  — Runtimes & use

llama.cpp · Ollama · LM Studio

General · Fast · Privacy

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.