GTX 1080 Ti holds 234 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is Qwen3 14B at IQ4_XS.
Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.
NVIDIA GTX 1080 Ti — 11 GB VRAM.
- BRAND
- NVIDIA
- VRAM
- 11 GB GDDR5X
- BANDWIDTH
- 484 GB/s
- FP16 COMPUTE
- 11.3 TFLOPS
- FP32 COMPUTE
- 11.3 TFLOPS
- CUDA CORES
- 3,584
- TDP
- 250 W
- ARCHITECTURE
- Pascal
- MSRP
- $200
With 11 GB VRAM and 484 GB/s bandwidth, this GPU handles models up to 13B parameters.
Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~55 tok/s.
| MODEL | SIZE | VRAM Q4 | TOK/S | AVG |
|---|---|---|---|---|
| Baichuan2 13B | 13B | 8.4 GB | 30 | 23.6 |
| Llama 2 13B | 13B | 8.4 GB | 30 | 17.2 |
| CodeLlama 13B | 13B | 8.4 GB | 30 | 19.7 |
| Vicuna 13B | 13B | 8.4 GB | 30 | 11.8 |
| LLaMA 1 13B | 13B | 8.4 GB | 30 | 32.9 |
| OPT 13B | 13B | 8.4 GB | 30 | 35.8 |
| Orca 2 13B | 13B | 8.4 GB | 30 | 25.4 |
| WizardCoder Python 13B | 13B | 8.4 GB | 30 | 60.1 |
| WizardLM 13B | 13B | 8.4 GB | 30 | 19.5 |
| Mistral-Nemo 12.2B | 12.2B | 7.9 GB | 32 | 22.4 |
| Dolly v2 12B | 12B | 7.8 GB | 32 | 6.4 |
| StableLM 2 12B | 12B | 7.8 GB | 32 | 21.3 |
| Falcon2 11B | 11B | 7.2 GB | 35 | 33.2 |
| Llama-3.2-11B-Vision-Instruct | 11B | 7.2 GB | 35 | 34.4 |
| SOLAR-10.7B | 10.7B | 7.0 GB | 36 | 28.2 |
| Falcon3-10B | 10.3B | 6.8 GB | 38 | 38.2 |
| GLM-4.1V 9B Thinking | 10.29B | 6.8 GB | 38 | — |
| Bamba 9B v2 | 9.78B | 6.5 GB | 40 | 26.1 |
| Qwen 3.5 9B | 9.65B | 6.4 GB | 40 | 50.6 |
| RecurrentGemma 9B | 9.63B | 6.4 GB | 40 | 35.0 |