← CanIRunLocal · All hardware · All models
Yes. Code Llama 7B fits in fast memory on RTX 4070 Ti Super 16GB at Q8_0 (8.1 GB needed, 15.5 GB usable), about 56 tok/s (estimate).
Hardware: RTX 4070 Ti Super 16GB · Model: Code Llama 7B
RTX 4070 Ti Super 16GB has 16 GB of VRAM and 672 GB/s of memory bandwidth. The checker holds back 0.5 GB of VRAM for the driver and assumes 16 GB of system RAM, so fast memory usable by Ollama is 15.5 GB. Partial offload may also use 60% of that system RAM. Code Llama 7B (6.74B, Meta) at Q8_0 is a 7.2 GB download and needs 8.1 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 7.2 GB |
| Memory needed | 8.1 GB |
| Usable fast memory | 15.5 GB |
| Fit | fits in fast memory |
| Estimated speed | ~56 tok/s (estimate) |
| Command | ollama run codellama:7b-instruct-q8_0 |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt