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Yes. Nemotron Labs Dory 1.0 4B fits in fast memory on M3 24GB at Q5_K_M (4.5 GB needed, 16.1 GB usable), about 22 tok/s (estimate).
Hardware: M3 24GB · Model: Nemotron Labs Dory 1.0 4B
M3 24GB has 24 GB of unified memory and 100 GB/s of memory bandwidth. M2 24GB has the same memory and bandwidth, so the fit numbers match; this page is M3 24GB. The checker leaves macOS a share of unified memory, so Ollama can use 16.1 GB. Nemotron Labs Dory 1.0 4B (3.98B, NVIDIA) at Q5_K_M is a 3.67 GB download and needs 4.5 GB with headroom for about 8k tokens.
| Best quant | Q5_K_M |
|---|---|
| Download size | 3.67 GB |
| Memory needed | 4.5 GB |
| Usable fast memory | 16.1 GB |
| Fit | fits in fast memory |
| Estimated speed | ~22 tok/s (estimate) |
| Command | ollama run hf.co/nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-GGUF:Q5_K_M |
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