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Yes. d1-omni 600M (Liquid AI, decision) fits in fast memory on RTX 4060 Ti 8GB at Q8_0 (1.8 GB needed, 7.5 GB usable), about 203 tok/s (estimate).
Hardware: RTX 4060 Ti 8GB · Model: d1-omni 600M (Liquid AI, decision)
RTX 4060 Ti 8GB has 8 GB of VRAM and 288 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 7.5 GB. Partial offload may also use 60% of that system RAM. d1-omni 600M (Liquid AI, decision) (0.587B, Liquid AI) at Q8_0 is a 0.85 GB download and needs 1.8 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 0.85 GB |
| Memory needed | 1.8 GB |
| Usable fast memory | 7.5 GB |
| Fit | fits in fast memory |
| Estimated speed | ~203 tok/s (estimate) |
| Command | ollama run d1-omni:600m |
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.
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