Can I Run Llama 3.2 3B Instruct on NVIDIA GeForce RTX 3070 Ti?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes. Llama 3.2 3B Instruct needs 3.7 GB at 8K context (1.9 GB weights + 1.8 GB KV cache/overhead) at Q4_K_M and the NVIDIA GeForce RTX 3070 Ti has 8 GB, leaving about 4.3 GB of headroom, at roughly 116 tok/s (estimated) with room for up to 32K of context.
See what else this hardware can run →
The numbers
| Model | Llama 3.2 3B Instruct |
| Parameters | 3B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 3.7 GB |
| NVIDIA GeForce RTX 3070 Ti VRAM | 8 GB |
| Verdict | Runs |
| Max context | 32K |
| Estimated speed | ~116 tok/s |
Llama 3.2 3B Instruct on the NVIDIA GeForce RTX 3070 Ti: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 8.2 GB | ✗ No | — | — |
| Q8_0 | 5.2 GB | ✓ Yes | 32K | — |
| Q6_K | 4.4 GB | ✓ Yes | 32K | — |
| Q5_K_M | 4 GB | ✓ Yes | 32K | — |
| Q4_K_M | 3.7 GB | ✓ Yes | 32K | — |
| Q3_K_M | 3.1 GB | ✓ Yes | 32K | — |
| Q2_K | 2.8 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 3070 Ti: 8K 3.7 GB · 32K 6.5 GB · 125K 17.4 GB ✗. Past 125K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? Llama 3.2 3B Instruct on 8 GB of system RAM, CPU only: runs.
Running Llama 3.2 3B Instruct on this card:
At 2 hrs/day, buying (~$599) beats renting at $0.34/hr after about 2.4 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other Llama 3.2 Family sizes on the NVIDIA GeForce RTX 3070 Ti
- Llama 3.2 90B Vision Instruct — does not fit (57.8 GB)
- Llama 3.2 11B Vision Instruct — runs at a lower quant (8.5 GB)
- Llama 3.2 1B Instruct — runs (1.8 GB)
Llama 3.2 3B Instruct on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — runs
All Llama 3.2 Family sizes on the NVIDIA GeForce RTX 3070 Ti | Llama 3.2 3B Instruct model page | NVIDIA GeForce RTX 3070 Ti GPU page | VRAM calculator | Check your hardware