NVIDIA GeForce RTX 4080 SUPER × Llama 3.2 3B Instruct
Can the RTX 4080 SUPER run Llama 3.2 3B Instruct?
Yes
Yes. The RTX 4080 SUPER can run Llama 3.2 3B Instruct at up to F16 (needs ~8.3 GB of 15.2 GB usable), at an estimated ~292 tokens/sec at Q4_K_M.
Speed is estimated from memory bandwidth calibrated with a measured 148.33 tok/s Llama 2 7B Q4_0 result (source). No direct public benchmark of this exact pair is recorded yet.
By quantization (8K context)
| Quant | Memory needed | Fits? | Est. tok/s |
|---|---|---|---|
| Q3_K_M | 3.3 GB | ✅ | ~300 |
| Q4_K_M | 3.7 GB | ✅ | ~292 |
| Q5_K_M | 4.1 GB | ✅ | ~249 |
| Q6_K | 4.5 GB | ✅ | ~215 |
| Q8_0 | 5.2 GB | ✅ | ~167 |
| F16 | 8.3 GB | ✅ | ~88.6 |
Fastest hardware for Llama 3.2 3B Instruct
- NVIDIA GeForce RTX 5090 — ~300 tok/s at Q4_K_M
- NVIDIA GeForce RTX 4090 — ~300 tok/s at Q4_K_M
- NVIDIA GeForce RTX 3090 — ~300 tok/s at Q4_K_M
- NVIDIA GeForce RTX 3090 Ti — ~300 tok/s at Q4_K_M
- NVIDIA GeForce RTX 5080 — ~300 tok/s at Q4_K_M
No suitable GPU? Rent one by the hour on Vast.ai or RunPod (affiliate links).
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