Granite 3.1 8B on NVIDIA GeForce RTX 5080 · 16GB VRAM

✅ Runs comfortably — Granite 3.1 8B @ Q8_0
Granite 3.1 8B 8B at Q8_0 needs ~9.8 GB (weights 8.1 GB + KV 1.3 GB + overhead 512 MB @ 8K ctx) of your 14.4 GB usable VRAM — plenty of headroom. Expect ~40–70 tok/s (very fast).
context @ Q8_0: comfortable to 16K · runs to 64K · won't fit past that on this rig
quantneedsspeed
✓ Q8_09.8 GB~40–70 tok/s (very fast)
✓ Q6_K8.0 GB~50–85 tok/s (very fast)
✓ Q5_K_M7.1 GB~60–95 tok/s (very fast)
✓ Q4_K_M6.4 GB~65–110 tok/s (very fast)
$runlocal install granite3.1-dense:8b
⚠ 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
Granite 3.1 8B: Runs comfortably
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 5080: DeepSeek-R1 (distill) · Qwen2.5 · Qwen3 · Gemma 4 · Gemma 3

Best models for a NVIDIA GeForce RTX 5080 · 16GB VRAM →

Architecturally similar

These share Granite 3.1 8B's KV-cache geometry — they size memory the same way, so here's how they fit on a NVIDIA GeForce RTX 5080 · 16GB VRAM too:

modelsharesverdict here
Llama 3.1 8kv/128hd ✅ Runs comfortably
Qwen2.5-Coder 8kv/128hd ✅ Runs (tight)
Llama 3.2 8kv/128hd ✅ Runs comfortably
Llama 3.3 8kv/128hd ❌ Won't fit
Mistral 7B 8kv/128hd ✅ Runs comfortably
Mistral Small 3 8kv/128hd ✅ Runs (tight)
Mistral Nemo 8kv/128hd ✅ Runs (tight)
Codestral 8kv/128hd ✅ Runs (tight)

…and 8 more — see the Granite 3.1 8B page.

Check any combo yourself: open the checker →