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Ollama weight files: Q4_K_M 43 GB (llama3.3:70b); Q5_K_M 50 GB (llama3.3:70b-instruct-q5_K_M); Q8_0 75 GB (llama3.3:70b-instruct-q8_0).
Yes on 25 machines in this list. The smallest is M1 Max 64GB: Q4_K_M, about 47.1 GB, roughly 7 tokens per second, via Ollama. ollama run llama3.3:70b
ollama run llama3.3:70b-instruct-q8_0ollama run llama3.3:70b-instruct-q8_0ollama run llama3.3:70b-instruct-q8_0ollama run llama3.3:70b-instruct-q8_0lms get unsloth/Llama-3.3-70B-Instruct-GGUF@Q8_0llama-server -hf unsloth/Llama-3.3-70B-Instruct-GGUF:Q8_0 -c 8192vllm serve RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic --max-model-len 8192 --gpu-memory-utilization 0.9| Hardware | Runtime | Quant | Memory | Fit | Speed | Command |
|---|---|---|---|---|---|---|
| M1 Max 64GB | Ollama | Q4_K_M | 47.1 GB | fits in fast memory | ~7 tok/s | ollama run llama3.3:70b |
| M2 Max 64GB | Ollama | Q4_K_M | 47.1 GB | fits in fast memory | ~7 tok/s | ollama run llama3.3:70b |
| M3 Max 64GB | Ollama | Q4_K_M | 47.1 GB | fits in fast memory | ~7 tok/s | ollama run llama3.3:70b |
| M4 Max 64GB | Ollama | Q4_K_M | 47.1 GB | fits in fast memory | ~10 tok/s | ollama run llama3.3:70b |
| Mac Studio M4 Max (40c GPU) 64GB | Ollama | Q4_K_M | 47.1 GB | fits in fast memory | ~10 tok/s | ollama run llama3.3:70b |
| Mac Studio M5 Max (40c GPU) 64GB | Ollama | Q4_K_M | 47.1 GB | fits in fast memory | ~11 tok/s | ollama run llama3.3:70b |
| DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte) | Ollama | Q5_K_M | 54.1 GB | fits in fast memory | ~4 tok/s | ollama run llama3.3:70b-instruct-q5_K_M |
| Mac Studio M3 Ultra 96GB | Ollama | Q5_K_M | 54.1 GB | fits in fast memory | ~13 tok/s | ollama run llama3.3:70b-instruct-q5_K_M |
| Mac Studio M5 Ultra 96GB | Ollama | Q5_K_M | 54.1 GB | fits in fast memory | ~19 tok/s | ollama run llama3.3:70b-instruct-q5_K_M |
| M3 Max 128GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~4 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| M4 Max 128GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~6 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| Mac Studio M4 Max (40c GPU) 128GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~6 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| Mac Studio M5 Max (40c GPU) 128GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~7 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~3 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| M2 Ultra 192GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~9 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| 2x Mac Studio M5 Max (40c GPU) 128GB | llama.cpp | Q8_0 GGUF | 79.1 GB | fits in fast memory | ~6 tok/s | llama-server -hf unsloth/Llama-3.3-70B-Instruct-GGUF:Q8_0 --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| Mac Studio M3 Ultra 256GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~9 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| Mac Studio M5 Ultra (64c GPU) 256GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~13 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| Mac Studio M5 Ultra (80c GPU) 256GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~13 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| 2x DGX Spark 128GB | llama.cpp | Q8_0 GGUF | 79.1 GB | fits in fast memory | ~2 tok/s | llama-server -hf unsloth/Llama-3.3-70B-Instruct-GGUF:Q8_0 --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| 4x Mac Studio M5 Max (40c GPU) 128GB | llama.cpp | Q8_0 GGUF | 79.1 GB | fits in fast memory | ~5 tok/s | llama-server -hf unsloth/Llama-3.3-70B-Instruct-GGUF:Q8_0 --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 | Q8_0 GGUF | 79.1 GB | fits in fast memory | ~11 tok/s | llama-server -hf unsloth/Llama-3.3-70B-Instruct-GGUF:Q8_0 --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| Mac Studio M3 Ultra (80c GPU) 512GB | Ollama | Q8_0 | 79.1 GB | fits in fast memory | ~9 tok/s | ollama run llama3.3:70b-instruct-q8_0 |
| 4x DGX Spark 128GB | llama.cpp | Q8_0 GGUF | 79.1 GB | fits in fast memory | ~2 tok/s | llama-server -hf unsloth/Llama-3.3-70B-Instruct-GGUF:Q8_0 --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 | Q8_0 GGUF | 79.1 GB | fits in fast memory | ~10 tok/s | llama-server -hf unsloth/Llama-3.3-70B-Instruct-GGUF:Q8_0 --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 2026-10-16.
A project by OnDevice Labs · llms.txt