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No. d3 9B (vLLM Semantic Router, decision) does not fit on M2 8GB: Q8_0 needs 11.4 GB and 5.4 GB is usable.
Hardware: M2 8GB · Model: d3 9B (vLLM Semantic Router, decision)
M2 8GB has 8 GB of unified memory and 100 GB/s of memory bandwidth. M3 8GB has the same memory and bandwidth, so the fit numbers match; this page is M2 8GB. The checker leaves macOS a share of unified memory, so Ollama can use 5.4 GB. d3 9B (vLLM Semantic Router, decision) (9B, vLLM Semantic Router) at Q8_0 is a 10 GB download and needs 11.4 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 10 GB |
| Memory needed | 11.4 GB |
| Usable fast memory | 5.4 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run d3:9b-q8_0 |
Smallest hardware that runs it: RTX 3060 8GB at Q8_0 (partial offload (slower), 11.4 GB needed, 7.5 GB usable, about 8 tok/s (estimate)). Can a RTX 3060 8GB run d3 9B (vLLM Semantic Router, decision)?
A smaller vLLM Semantic Router model that fits this hardware: d3 2B (vLLM Semantic Router, decision) at Q8_0 (fits in fast memory, 4.3 GB). Can a M2 8GB run d3 2B (vLLM Semantic Router, decision)?
Open M2 8GB 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