← CanIRunLocal · All hardware · All models
Poolside · 33.4B parameters (3B active) · coding, reasoning.
Ollama weight files: Q4_K_M 20 GB (laguna-xs-2.1:latest); Q8_0 36 GB (laguna-xs-2.1:q8_0).
Yes on 44 machines in this list. The smallest is RTX 4060 Ti 16GB: Q4_K_M, about 21.4 GB, roughly 25 tokens per second, via Ollama. ollama run laguna-xs-2.1:latest
ollama run laguna-xs-2.1:q8_0ollama run laguna-xs-2.1:q8_0ollama run laguna-xs-2.1:q8_0ollama run laguna-xs-2.1:q8_0lms get poolside/Laguna-XS-2.1-GGUF@Q4_K_Mllama-server -hf poolside/Laguna-XS-2.1-GGUF:Q4_K_M -c 8192vllm serve poolside/Laguna-XS-2.1 --max-model-len 8192 --gpu-memory-utilization 0.9| Hardware | Runtime | Quant | Memory | Fit | Speed | Command |
|---|---|---|---|---|---|---|
| RTX 4060 Ti 16GB | Ollama | Q4_K_M | 21.4 GB | partial offload (slower) | ~25 tok/s | ollama run laguna-xs-2.1:latest |
| RTX 4070 Ti Super 16GB | Ollama | Q4_K_M | 21.4 GB | partial offload (slower) | ~32 tok/s | ollama run laguna-xs-2.1:latest |
| RTX 4080 16GB | Ollama | Q4_K_M | 21.4 GB | partial offload (slower) | ~32 tok/s | ollama run laguna-xs-2.1:latest |
| RTX 5080 16GB | Ollama | Q4_K_M | 21.4 GB | partial offload (slower) | ~34 tok/s | ollama run laguna-xs-2.1:latest |
| RX 7800 XT 16GB | Ollama | Q4_K_M | 21.4 GB | partial offload (slower) | ~32 tok/s | ollama run laguna-xs-2.1:latest |
| RX 9070 XT 16GB | Ollama | Q4_K_M | 21.4 GB | partial offload (slower) | ~32 tok/s | ollama run laguna-xs-2.1:latest |
| RTX 3090 24GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~156 tok/s | ollama run laguna-xs-2.1:latest |
| RTX 4090 24GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~168 tok/s | ollama run laguna-xs-2.1:latest |
| RX 7900 XTX 24GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~160 tok/s | ollama run laguna-xs-2.1:latest |
| M1 Pro 32GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~45 tok/s | ollama run laguna-xs-2.1:latest |
| M2 Pro 32GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~45 tok/s | ollama run laguna-xs-2.1:latest |
| M4 32GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~27 tok/s | ollama run laguna-xs-2.1:latest |
| M3 Pro 36GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~33 tok/s | ollama run laguna-xs-2.1:latest |
| Mac Studio M4 Max (32c GPU) 36GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~91 tok/s | ollama run laguna-xs-2.1:latest |
| Mac Studio M5 Max (32c GPU) 36GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~102 tok/s | ollama run laguna-xs-2.1:latest |
| RTX 5090 32GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~299 tok/s | ollama run laguna-xs-2.1:latest |
| M4 Pro 48GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~61 tok/s | ollama run laguna-xs-2.1:latest |
| Mac Studio M4 Max (40c GPU) 48GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~122 tok/s | ollama run laguna-xs-2.1:latest |
| Mac Studio M5 Max (40c GPU) 48GB | Ollama | Q4_K_M | 21.4 GB | fits in fast memory | ~137 tok/s | ollama run laguna-xs-2.1:latest |
| M1 Max 64GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~49 tok/s | ollama run laguna-xs-2.1:q8_0 |
| M2 Max 64GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~49 tok/s | ollama run laguna-xs-2.1:q8_0 |
| M3 Max 64GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~49 tok/s | ollama run laguna-xs-2.1:q8_0 |
| M4 Max 64GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~68 tok/s | ollama run laguna-xs-2.1:q8_0 |
| Mac Studio M4 Max (40c GPU) 64GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~68 tok/s | ollama run laguna-xs-2.1:q8_0 |
| Mac Studio M5 Max (40c GPU) 64GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~76 tok/s | ollama run laguna-xs-2.1:q8_0 |
| DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte) | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~49 tok/s | ollama run laguna-xs-2.1:q8_0 |
| Mac Studio M3 Ultra 96GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~101 tok/s | ollama run laguna-xs-2.1:q8_0 |
| Mac Studio M5 Ultra 96GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~148 tok/s | ollama run laguna-xs-2.1:q8_0 |
| M3 Max 128GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~49 tok/s | ollama run laguna-xs-2.1:q8_0 |
| M4 Max 128GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~68 tok/s | ollama run laguna-xs-2.1:q8_0 |
| Mac Studio M4 Max (40c GPU) 128GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~68 tok/s | ollama run laguna-xs-2.1:q8_0 |
| Mac Studio M5 Max (40c GPU) 128GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~76 tok/s | ollama run laguna-xs-2.1:q8_0 |
| DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~49 tok/s | ollama run laguna-xs-2.1:q8_0 |
| M2 Ultra 192GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~99 tok/s | ollama run laguna-xs-2.1:q8_0 |
| 2x Mac Studio M5 Max (40c GPU) 128GB | llama.cpp | Q4_K_M GGUF | 21.7 GB | fits in fast memory | ~115 tok/s | llama-server -hf poolside/Laguna-XS-2.1-GGUF:Q4_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| Mac Studio M3 Ultra 256GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~101 tok/s | ollama run laguna-xs-2.1:q8_0 |
| Mac Studio M5 Ultra (64c GPU) 256GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~148 tok/s | ollama run laguna-xs-2.1:q8_0 |
| Mac Studio M5 Ultra (80c GPU) 256GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~148 tok/s | ollama run laguna-xs-2.1:q8_0 |
| 2x DGX Spark 128GB | llama.cpp | Q4_K_M GGUF | 21.7 GB | fits in fast memory | ~73 tok/s | llama-server -hf poolside/Laguna-XS-2.1-GGUF:Q4_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| 4x Mac Studio M5 Max (40c GPU) 128GB | llama.cpp | Q4_K_M GGUF | 21.7 GB | fits in fast memory | ~101 tok/s | llama-server -hf poolside/Laguna-XS-2.1-GGUF:Q4_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node |
| 2x Mac Studio M5 Ultra (80c GPU) 256GB | llama.cpp | Q4_K_M GGUF | 21.7 GB | fits in fast memory | ~224 tok/s | llama-server -hf poolside/Laguna-XS-2.1-GGUF:Q4_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| Mac Studio M3 Ultra (80c GPU) 512GB | Ollama | Q8_0 | 37.4 GB | fits in fast memory | ~101 tok/s | ollama run laguna-xs-2.1:q8_0 |
| 4x DGX Spark 128GB | llama.cpp | Q4_K_M GGUF | 21.7 GB | fits in fast memory | ~65 tok/s | llama-server -hf poolside/Laguna-XS-2.1-GGUF:Q4_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node |
| 4x Mac Studio M5 Ultra (80c GPU) 256GB | llama.cpp | Q4_K_M GGUF | 21.7 GB | fits in fast memory | ~198 tok/s | llama-server -hf poolside/Laguna-XS-2.1-GGUF:Q4_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node |
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 2026-10-18.
A project by OnDevice Labs · llms.txt