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DeepSeek · 15.7B parameters (2.4B active) · coding.
Ollama weight files: Q5_K_M 12 GB (deepseek-coder-v2:16b-lite-instruct-q5_K_M); Q8_0 17 GB (deepseek-coder-v2:16b-lite-instruct-q8_0); Q4_0 8.9 GB (deepseek-coder-v2:16b); Q4_K_M 10 GB (deepseek-coder-v2:16b-lite-instruct-q4_K_M).
Yes on 59 machines in this list. The smallest is RTX 3060 Ti 8GB: Q4_K_M, about 11 GB, roughly 31 tokens per second, via Ollama. ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M
ollama run deepseek-coder-v2:16b-lite-instruct-q8_0ollama run deepseek-coder-v2:16b-lite-instruct-q8_0ollama run deepseek-coder-v2:16b-lite-instruct-q8_0ollama run deepseek-coder-v2:16b-lite-instruct-q8_0lms get bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF@Q8_0llama-server -hf bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q8_0 -c 8192vllm serve deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct --max-model-len 8192 --gpu-memory-utilization 0.9| Hardware | Runtime | Quant | Memory | Fit | Speed | Command |
|---|---|---|---|---|---|---|
| RTX 3060 Ti 8GB | Ollama | Q4_K_M | 11 GB | partial offload (slower) | ~31 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M |
| RTX 3070 8GB | Ollama | Q4_K_M | 11 GB | partial offload (slower) | ~31 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M |
| RTX 4060 8GB | Ollama | Q4_K_M | 11 GB | partial offload (slower) | ~27 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M |
| RX 7600 8GB | Ollama | Q4_K_M | 11 GB | partial offload (slower) | ~27 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M |
| RTX 3080 10GB | Ollama | Q4_K_M | 11 GB | partial offload (slower) | ~62 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M |
| M1 16GB | Ollama | Q4_0 | 9.9 GB | fits in fast memory | ~20 tok/s | ollama run deepseek-coder-v2:16b |
| M2 16GB | Ollama | Q4_0 | 9.9 GB | fits in fast memory | ~29 tok/s | ollama run deepseek-coder-v2:16b |
| M3 16GB | Ollama | Q4_0 | 9.9 GB | fits in fast memory | ~29 tok/s | ollama run deepseek-coder-v2:16b |
| M4 16GB | Ollama | Q4_0 | 9.9 GB | fits in fast memory | ~35 tok/s | ollama run deepseek-coder-v2:16b |
| RTX 3060 12GB | Ollama | Q4_K_M | 11 GB | fits in fast memory | ~71 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M |
| RTX 4070 12GB | Ollama | Q4_K_M | 11 GB | fits in fast memory | ~99 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M |
| RTX 5070 12GB | Ollama | Q4_K_M | 11 GB | fits in fast memory | ~132 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q4_K_M |
| RTX 4060 Ti 16GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~47 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| RTX 4070 Ti Super 16GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~110 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| RTX 4080 16GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~117 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| RTX 5080 16GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~157 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| RX 7800 XT 16GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~102 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| RX 9070 XT 16GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~105 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| M2 24GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~22 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| M3 24GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~22 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| M4 24GB | Ollama | Q5_K_M | 13 GB | fits in fast memory | ~26 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q5_K_M |
| RTX 3090 24GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~108 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| RTX 4090 24GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~116 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| RX 7900 XTX 24GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~111 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M1 Pro 32GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~31 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M2 Pro 32GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~31 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M4 32GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~18 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M3 Pro 36GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~23 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M4 Max (32c GPU) 36GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~63 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M5 Max (32c GPU) 36GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~71 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| RTX 5090 32GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~207 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M4 Pro 48GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~42 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M4 Max (40c GPU) 48GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~84 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M5 Max (40c GPU) 48GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~95 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M1 Max 64GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~62 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M2 Max 64GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~62 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M3 Max 64GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~62 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M4 Max 64GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~84 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M4 Max (40c GPU) 64GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~84 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M5 Max (40c GPU) 64GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~95 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte) | Ollama | Q8_0 | 18 GB | fits in fast memory | ~60 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M3 Ultra 96GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~126 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M5 Ultra 96GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~185 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M3 Max 128GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~62 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M4 Max 128GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~84 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M4 Max (40c GPU) 128GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~84 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M5 Max (40c GPU) 128GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~95 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte) | Ollama | Q8_0 | 18 GB | fits in fast memory | ~60 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| M2 Ultra 192GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~123 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| 2x Mac Studio M5 Max (40c GPU) 128GB | llama.cpp | Q8_0 GGUF | 34.8 GB | fits in fast memory | ~40 tok/s | llama-server -hf bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q8_0 --rpc node2:50052 -c 8192 # run rpc-server on each other node |
| Mac Studio M3 Ultra 256GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~126 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M5 Ultra (64c GPU) 256GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~185 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| Mac Studio M5 Ultra (80c GPU) 256GB | Ollama | Q8_0 | 18 GB | fits in fast memory | ~185 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| 2x DGX Spark 128GB | llama.cpp | Q8_0 GGUF | 34.8 GB | fits in fast memory | ~26 tok/s | llama-server -hf bartowski/DeepSeek-Coder-V2-Lite-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 | 34.8 GB | fits in fast memory | ~36 tok/s | llama-server -hf bartowski/DeepSeek-Coder-V2-Lite-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 | 34.8 GB | fits in fast memory | ~79 tok/s | llama-server -hf bartowski/DeepSeek-Coder-V2-Lite-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 | 18 GB | fits in fast memory | ~126 tok/s | ollama run deepseek-coder-v2:16b-lite-instruct-q8_0 |
| 4x DGX Spark 128GB | llama.cpp | Q8_0 GGUF | 34.8 GB | fits in fast memory | ~23 tok/s | llama-server -hf bartowski/DeepSeek-Coder-V2-Lite-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 | 34.8 GB | fits in fast memory | ~70 tok/s | llama-server -hf bartowski/DeepSeek-Coder-V2-Lite-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