← CanIRunLocal · All hardware · All models

Can I run Llama 3.2 Vision 11B locally?

Meta · 10.7B parameters · vision.

Ollama weight files: Q4_K_M 7.8 GB (llama3.2-vision:11b); Q8_0 12 GB (llama3.2-vision:11b-instruct-q8_0).

Yes on 59 machines in this list. The smallest is RTX 3060 Ti 8GB: Q4_K_M, about 8.9 GB, roughly 18 tokens per second, via Ollama. ollama run llama3.2-vision:11b

Setup on DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)

Open Llama 3.2 Vision 11B in the checker

Hardware that fits

HardwareRuntimeQuantMemoryFitSpeedCommand
RTX 3060 Ti 8GBOllamaQ4_K_M8.9 GBpartial offload (slower)~18 tok/sollama run llama3.2-vision:11b
RTX 3070 8GBOllamaQ4_K_M8.9 GBpartial offload (slower)~18 tok/sollama run llama3.2-vision:11b
RTX 4060 8GBOllamaQ4_K_M8.9 GBpartial offload (slower)~14 tok/sollama run llama3.2-vision:11b
RX 7600 8GBOllamaQ4_K_M8.9 GBpartial offload (slower)~15 tok/sollama run llama3.2-vision:11b
RTX 3080 10GBOllamaQ4_K_M8.9 GBfits in fast memory~58 tok/sollama run llama3.2-vision:11b
M1 16GBOllamaQ4_K_M8.9 GBfits in fast memory~7 tok/sollama run llama3.2-vision:11b
M2 16GBOllamaQ4_K_M8.9 GBfits in fast memory~10 tok/sollama run llama3.2-vision:11b
M3 16GBOllamaQ4_K_M8.9 GBfits in fast memory~10 tok/sollama run llama3.2-vision:11b
M4 16GBOllamaQ4_K_M8.9 GBfits in fast memory~12 tok/sollama run llama3.2-vision:11b
RTX 3060 12GBOllamaQ4_K_M8.9 GBfits in fast memory~28 tok/sollama run llama3.2-vision:11b
RTX 4070 12GBOllamaQ4_K_M8.9 GBfits in fast memory~39 tok/sollama run llama3.2-vision:11b
RTX 5070 12GBOllamaQ4_K_M8.9 GBfits in fast memory~52 tok/sollama run llama3.2-vision:11b
RTX 4060 Ti 16GBOllamaQ8_013.1 GBfits in fast memory~14 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RTX 4070 Ti Super 16GBOllamaQ8_013.1 GBfits in fast memory~34 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RTX 4080 16GBOllamaQ8_013.1 GBfits in fast memory~36 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RTX 5080 16GBOllamaQ8_013.1 GBfits in fast memory~48 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RX 7800 XT 16GBOllamaQ8_013.1 GBfits in fast memory~31 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RX 9070 XT 16GBOllamaQ8_013.1 GBfits in fast memory~32 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M2 24GBOllamaQ8_013.1 GBfits in fast memory~7 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M3 24GBOllamaQ8_013.1 GBfits in fast memory~7 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M4 24GBOllamaQ8_013.1 GBfits in fast memory~8 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RTX 3090 24GBOllamaQ8_013.1 GBfits in fast memory~47 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RTX 4090 24GBOllamaQ8_013.1 GBfits in fast memory~50 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RX 7900 XTX 24GBOllamaQ8_013.1 GBfits in fast memory~48 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M1 Pro 32GBOllamaQ8_013.1 GBfits in fast memory~13 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M2 Pro 32GBOllamaQ8_013.1 GBfits in fast memory~13 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M4 32GBOllamaQ8_013.1 GBfits in fast memory~8 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M3 Pro 36GBOllamaQ8_013.1 GBfits in fast memory~10 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M4 Max (32c GPU) 36GBOllamaQ8_013.1 GBfits in fast memory~27 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M5 Max (32c GPU) 36GBOllamaQ8_013.1 GBfits in fast memory~31 tok/sollama run llama3.2-vision:11b-instruct-q8_0
RTX 5090 32GBOllamaQ8_013.1 GBfits in fast memory~90 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M4 Pro 48GBOllamaQ8_013.1 GBfits in fast memory~18 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M4 Max (40c GPU) 48GBOllamaQ8_013.1 GBfits in fast memory~36 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M5 Max (40c GPU) 48GBOllamaQ8_013.1 GBfits in fast memory~41 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M1 Max 64GBOllamaQ8_013.1 GBfits in fast memory~27 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M2 Max 64GBOllamaQ8_013.1 GBfits in fast memory~27 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M3 Max 64GBOllamaQ8_013.1 GBfits in fast memory~27 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M4 Max 64GBOllamaQ8_013.1 GBfits in fast memory~36 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M4 Max (40c GPU) 64GBOllamaQ8_013.1 GBfits in fast memory~36 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M5 Max (40c GPU) 64GBOllamaQ8_013.1 GBfits in fast memory~41 tok/sollama run llama3.2-vision:11b-instruct-q8_0
DGX Spark 64GB (ASUS, Dell, HP, MSI, Acer, Gigabyte)OllamaQ8_013.1 GBfits in fast memory~17 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M3 Ultra 96GBOllamaQ8_013.1 GBfits in fast memory~55 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M5 Ultra 96GBOllamaQ8_013.1 GBfits in fast memory~80 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M3 Max 128GBOllamaQ8_013.1 GBfits in fast memory~27 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M4 Max 128GBOllamaQ8_013.1 GBfits in fast memory~36 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M4 Max (40c GPU) 128GBOllamaQ8_013.1 GBfits in fast memory~36 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M5 Max (40c GPU) 128GBOllamaQ8_013.1 GBfits in fast memory~41 tok/sollama run llama3.2-vision:11b-instruct-q8_0
DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)OllamaQ8_013.1 GBfits in fast memory~17 tok/sollama run llama3.2-vision:11b-instruct-q8_0
M2 Ultra 192GBOllamaQ8_013.1 GBfits in fast memory~53 tok/sollama run llama3.2-vision:11b-instruct-q8_0
2x Mac Studio M5 Max (40c GPU) 128GBMLXMLX 8bit12.5 GBfits in fast memory~61 tok/sexo # on every Mac (brew install --cask exo); load mlx-community/Llama-3.2-11B-Vision-Instruct-8bit with Tensor sharding + RDMA
Mac Studio M3 Ultra 256GBOllamaQ8_013.1 GBfits in fast memory~55 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M5 Ultra (64c GPU) 256GBOllamaQ8_013.1 GBfits in fast memory~80 tok/sollama run llama3.2-vision:11b-instruct-q8_0
Mac Studio M5 Ultra (80c GPU) 256GBOllamaQ8_013.1 GBfits in fast memory~80 tok/sollama run llama3.2-vision:11b-instruct-q8_0
2x DGX Spark 128GBvLLMOfficial weights22.5 GBfits in fast memory~12 tok/svllm serve meta-llama/Llama-3.2-11B-Vision-Instruct --tensor-parallel-size 2 --distributed-executor-backend ray --max-model-len 8192
4x Mac Studio M5 Max (40c GPU) 128GBMLXMLX 8bit12.5 GBfits in fast memory~95 tok/sexo # on every Mac (brew install --cask exo); load mlx-community/Llama-3.2-11B-Vision-Instruct-8bit with Tensor sharding + RDMA
2x Mac Studio M5 Ultra (80c GPU) 256GBMLXMLX 8bit12.5 GBfits in fast memory~119 tok/sexo # on every Mac (brew install --cask exo); load mlx-community/Llama-3.2-11B-Vision-Instruct-8bit with Tensor sharding + RDMA
Mac Studio M3 Ultra (80c GPU) 512GBOllamaQ8_013.1 GBfits in fast memory~55 tok/sollama run llama3.2-vision:11b-instruct-q8_0
4x DGX Spark 128GBvLLMOfficial weights22.5 GBfits in fast memory~17 tok/svllm serve meta-llama/Llama-3.2-11B-Vision-Instruct --tensor-parallel-size 4 --distributed-executor-backend ray --max-model-len 8192
4x Mac Studio M5 Ultra (80c GPU) 256GBMLXMLX 8bit12.5 GBfits in fast memory~186 tok/sexo # on every Mac (brew install --cask exo); load mlx-community/Llama-3.2-11B-Vision-Instruct-8bit with Tensor sharding + RDMA

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