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No. d3 27B (vLLM Semantic Router, decision) does not fit on RTX 4080 16GB: Q8_0 needs 32.3 GB and 15.5 GB is usable.
Hardware: RTX 4080 16GB · Model: d3 27B (vLLM Semantic Router, decision)
RTX 4080 16GB has 16 GB of VRAM and 717 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. d3 27B (vLLM Semantic Router, decision) (27B, vLLM Semantic Router) at Q8_0 is a 30 GB download and needs 32.3 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 30 GB |
| Memory needed | 32.3 GB |
| Usable fast memory | 15.5 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run d3:27b-q8_0 |
Smallest hardware that runs it: RTX 3090 24GB at Q8_0 (partial offload (slower), 32.3 GB needed, 23.5 GB usable, about 4 tok/s (estimate)). Can a RTX 3090 24GB run d3 27B (vLLM Semantic Router, decision)?
A smaller vLLM Semantic Router model that fits this hardware: d3 9B (vLLM Semantic Router, decision) at Q8_0 (fits in fast memory, 11.4 GB). Can a RTX 4080 16GB run d3 9B (vLLM Semantic Router, decision)?
Open RTX 4080 16GB in the checkerEstimates, 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