LLaVA on NVIDIA GeForce RTX 4070 · 12GB VRAM

✅ Runs (tight) — LLaVA 7B @ Q5_K_M
LLaVA 7B at Q5_K_M needs ~9.2 GB (weights 4.7 GB + KV 4.0 GB + overhead 512 MB @ 8K ctx) of your 10.8 GB usable VRAM — fits, but little headroom — close other apps or trim context. Expect ~20–35 tok/s (fast).
context @ Q5_K_M: comfortable to 4K
quantneedsspeed
~ Q8_011.5 GB~6–9 tok/s (slow)
✓ Q5_K_M9.2 GB~20–35 tok/s (fast)
✓ Q4_K_M8.5 GB~25–45 tok/s (fast)
$runlocal install llava:7b
⚠ NVIDIA support is best-effort in v0.1 — verify before relying on it.
runlocal verdict card
download card share on x share on reddit drop it in your model-drop post
LLaVA: Runs (tight)
for your own README — links back here

Same model, other machines: Apple M1 · Apple M1 Pro · Apple M2 · Apple M3 Pro · Apple M2 Pro · Apple M4 Pro

Also runs on a NVIDIA GeForce RTX 4070: Qwen3 · DeepSeek-R1 (distill) · Qwen2.5 · Llama 3.1 · Gemma 4

Best models for a NVIDIA GeForce RTX 4070 · 12GB VRAM →

Architecturally similar

These share LLaVA's KV-cache geometry — they size memory the same way, so here's how they fit on a NVIDIA GeForce RTX 4070 · 12GB VRAM too:

modelsharesverdict here
Code Llama 32kv/128hd40kv/128hd ✅ Runs (tight)
OLMo 2 7B 32kv/128hd ✅ Runs (tight)

Check any combo yourself: open the checker →