NVIDIA GeForce RTX 3090 Ti × Llama 3.1 8B Instruct
Can the RTX 3090 Ti run Llama 3.1 8B Instruct?
Yes
Yes. The RTX 3090 Ti can run Llama 3.1 8B Instruct at up to F16 (needs ~18.4 GB of 22.8 GB usable), at an estimated ~135 tokens/sec at Q4_K_M.
Speed is estimated from memory bandwidth calibrated with a measured 171.19 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 | 5.9 GB | ✅ | ~168 |
| Q4_K_M | 6.9 GB | ✅ | ~135 |
| Q5_K_M | 7.7 GB | ✅ | ~115 |
| Q6_K | 8.7 GB | ✅ | ~99.1 |
| Q8_0 | 10.6 GB | ✅ | ~77.0 |
| F16 | 18.4 GB | ✅ | ~40.9 |
Fastest hardware for Llama 3.1 8B Instruct
- NVIDIA GeForce RTX 5090 — ~229 tok/s at Q4_K_M
- NVIDIA GeForce RTX 4090 — ~147 tok/s at Q4_K_M
- AMD Radeon RX 7900 XTX — ~145 tok/s at Q4_K_M
- NVIDIA GeForce RTX 5080 — ~143 tok/s at Q4_K_M
- NVIDIA GeForce RTX 5070 Ti — ~139 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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