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Can I run Nimble 9B (Bespoke Labs, decision) locally?

Bespoke Labs · 9B parameters · chat.

Ollama weight files: Q4_K_M 5.6 GB (nimble:9b-q4_K_M); Q8_0 9.5 GB (nimble:9b-q8_0).

Yes on 76 machines in this list. The smallest is RTX 3060 8GB: Q4_K_M, about 6.6 GB, roughly 26 tokens per second, via Ollama. ollama run nimble:9b-q4_K_M

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

Open Nimble 9B (Bespoke Labs, decision) in the checker

Hardware that fits

HardwareRuntimeQuantMemoryFitSpeedCommand
RTX 3060 8GBOllamaQ4_K_M6.6 GBfits in fast memory~26 tok/sollama run nimble:9b-q4_K_M
RTX 3060 Ti 8GBOllamaQ4_K_M6.6 GBfits in fast memory~48 tok/sollama run nimble:9b-q4_K_M
RTX 3070 8GBOllamaQ4_K_M6.6 GBfits in fast memory~48 tok/sollama run nimble:9b-q4_K_M
RTX 4060 8GBOllamaQ4_K_M6.6 GBfits in fast memory~29 tok/sollama run nimble:9b-q4_K_M
RTX 4060 Ti 8GBOllamaQ4_K_M6.6 GBfits in fast memory~31 tok/sollama run nimble:9b-q4_K_M
RX 7600 8GBOllamaQ4_K_M6.6 GBfits in fast memory~31 tok/sollama run nimble:9b-q4_K_M
RTX 3080 10GBOllamaQ4_K_M6.6 GBfits in fast memory~81 tok/sollama run nimble:9b-q4_K_M
M1 16GBOllamaQ8_010.6 GBfits in fast memory~6 tok/sollama run nimble:9b-q8_0
M1 Pro 16GBOllamaQ8_010.6 GBfits in fast memory~17 tok/sollama run nimble:9b-q8_0
M2 16GBOllamaQ8_010.6 GBfits in fast memory~8 tok/sollama run nimble:9b-q8_0
M2 Pro 16GBOllamaQ8_010.6 GBfits in fast memory~17 tok/sollama run nimble:9b-q8_0
M3 16GBOllamaQ8_010.6 GBfits in fast memory~8 tok/sollama run nimble:9b-q8_0
M4 16GBOllamaQ8_010.6 GBfits in fast memory~10 tok/sollama run nimble:9b-q8_0
RTX 3060 12GBOllamaQ8_010.6 GBfits in fast memory~23 tok/sollama run nimble:9b-q8_0
RTX 3080 12GBOllamaQ8_010.6 GBfits in fast memory~58 tok/sollama run nimble:9b-q8_0
RTX 4070 12GBOllamaQ8_010.6 GBfits in fast memory~32 tok/sollama run nimble:9b-q8_0
RTX 5070 12GBOllamaQ8_010.6 GBfits in fast memory~42 tok/sollama run nimble:9b-q8_0
M3 Pro 18GBOllamaQ8_010.6 GBfits in fast memory~13 tok/sollama run nimble:9b-q8_0
RTX 4060 Ti 16GBOllamaQ8_010.6 GBfits in fast memory~18 tok/sollama run nimble:9b-q8_0
RTX 4070 Ti Super 16GBOllamaQ8_010.6 GBfits in fast memory~42 tok/sollama run nimble:9b-q8_0
RTX 4080 16GBOllamaQ8_010.6 GBfits in fast memory~45 tok/sollama run nimble:9b-q8_0
RTX 5080 16GBOllamaQ8_010.6 GBfits in fast memory~61 tok/sollama run nimble:9b-q8_0
RX 7800 XT 16GBOllamaQ8_010.6 GBfits in fast memory~39 tok/sollama run nimble:9b-q8_0
RX 9070 XT 16GBOllamaQ8_010.6 GBfits in fast memory~40 tok/sollama run nimble:9b-q8_0
M2 24GBOllamaQ8_010.6 GBfits in fast memory~8 tok/sollama run nimble:9b-q8_0
M3 24GBOllamaQ8_010.6 GBfits in fast memory~8 tok/sollama run nimble:9b-q8_0
M4 24GBOllamaQ8_010.6 GBfits in fast memory~10 tok/sollama run nimble:9b-q8_0
M4 Pro 24GBOllamaQ8_010.6 GBfits in fast memory~23 tok/sollama run nimble:9b-q8_0
RTX 3090 24GBOllamaQ8_010.6 GBfits in fast memory~59 tok/sollama run nimble:9b-q8_0
RTX 4090 24GBOllamaQ8_010.6 GBfits in fast memory~64 tok/sollama run nimble:9b-q8_0
RX 7900 XTX 24GBOllamaQ8_010.6 GBfits in fast memory~61 tok/sollama run nimble:9b-q8_0
M1 Max (24c GPU) 32GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M1 Max (32c GPU) 32GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M1 Pro 32GBOllamaQ8_010.6 GBfits in fast memory~17 tok/sollama run nimble:9b-q8_0
M2 Max (30c GPU) 32GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M2 Max (38c GPU) 32GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M2 Pro 32GBOllamaQ8_010.6 GBfits in fast memory~17 tok/sollama run nimble:9b-q8_0
M4 32GBOllamaQ8_010.6 GBfits in fast memory~10 tok/sollama run nimble:9b-q8_0
M3 Max (30c GPU) 36GBOllamaQ8_010.6 GBfits in fast memory~25 tok/sollama run nimble:9b-q8_0
M3 Pro 36GBOllamaQ8_010.6 GBfits in fast memory~13 tok/sollama run nimble:9b-q8_0
M4 Max (32c GPU) 36GBOllamaQ8_010.6 GBfits in fast memory~35 tok/sollama run nimble:9b-q8_0
Mac Studio M4 Max (32c GPU) 36GBOllamaQ8_010.6 GBfits in fast memory~35 tok/sollama run nimble:9b-q8_0
Mac Studio M5 Max (32c GPU) 36GBOllamaQ8_010.6 GBfits in fast memory~39 tok/sollama run nimble:9b-q8_0
RTX 5090 32GBOllamaQ8_010.6 GBfits in fast memory~113 tok/sollama run nimble:9b-q8_0
M3 Max (40c GPU) 48GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M4 Max (40c GPU) 48GBOllamaQ8_010.6 GBfits in fast memory~46 tok/sollama run nimble:9b-q8_0
M4 Pro 48GBOllamaQ8_010.6 GBfits in fast memory~23 tok/sollama run nimble:9b-q8_0
Mac Studio M4 Max (40c GPU) 48GBOllamaQ8_010.6 GBfits in fast memory~46 tok/sollama run nimble:9b-q8_0
Mac Studio M5 Max (40c GPU) 48GBOllamaQ8_010.6 GBfits in fast memory~52 tok/sollama run nimble:9b-q8_0
M1 Max (32c GPU) 64GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M2 Max (30c GPU) 64GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M2 Max (38c GPU) 64GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M2 Ultra 64GBOllamaQ8_010.6 GBfits in fast memory~67 tok/sollama run nimble:9b-q8_0
M3 Max (40c GPU) 64GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M4 Max (40c GPU) 64GBOllamaQ8_010.6 GBfits in fast memory~46 tok/sollama run nimble:9b-q8_0
M4 Pro 64GBOllamaQ8_010.6 GBfits in fast memory~23 tok/sollama run nimble:9b-q8_0
Mac Studio M4 Max (40c GPU) 64GBOllamaQ8_010.6 GBfits in fast memory~46 tok/sollama run nimble:9b-q8_0
Mac Studio M5 Max (40c GPU) 64GBOllamaQ8_010.6 GBfits in fast memory~52 tok/sollama run nimble:9b-q8_0
M2 Max (38c GPU) 96GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M3 Max (30c GPU) 96GBOllamaQ8_010.6 GBfits in fast memory~25 tok/sollama run nimble:9b-q8_0
Mac Studio M3 Ultra (60c GPU) 96GBOllamaQ8_010.6 GBfits in fast memory~69 tok/sollama run nimble:9b-q8_0
Mac Studio M3 Ultra (80c GPU) 96GBOllamaQ8_010.6 GBfits in fast memory~69 tok/sollama run nimble:9b-q8_0
Mac Studio M5 Ultra (64c GPU) 96GBOllamaQ8_010.6 GBfits in fast memory~101 tok/sollama run nimble:9b-q8_0
Mac Studio M5 Ultra (80c GPU) 96GBOllamaQ8_010.6 GBfits in fast memory~101 tok/sollama run nimble:9b-q8_0
M2 Ultra 128GBOllamaQ8_010.6 GBfits in fast memory~67 tok/sollama run nimble:9b-q8_0
M3 Max (40c GPU) 128GBOllamaQ8_010.6 GBfits in fast memory~34 tok/sollama run nimble:9b-q8_0
M4 Max (40c GPU) 128GBOllamaQ8_010.6 GBfits in fast memory~46 tok/sollama run nimble:9b-q8_0
Mac Studio M4 Max (40c GPU) 128GBOllamaQ8_010.6 GBfits in fast memory~46 tok/sollama run nimble:9b-q8_0
Mac Studio M5 Max (40c GPU) 128GBOllamaQ8_010.6 GBfits in fast memory~52 tok/sollama run nimble:9b-q8_0
DGX Spark 128GB (NVIDIA, ASUS, Dell, Lenovo, HP, MSI, Acer, Gigabyte)OllamaQ8_010.6 GBfits in fast memory~22 tok/sollama run nimble:9b-q8_0
M2 Ultra 192GBOllamaQ8_010.6 GBfits in fast memory~67 tok/sollama run nimble:9b-q8_0
Mac Studio M3 Ultra (60c GPU) 256GBOllamaQ8_010.6 GBfits in fast memory~69 tok/sollama run nimble:9b-q8_0
Mac Studio M3 Ultra (80c GPU) 256GBOllamaQ8_010.6 GBfits in fast memory~69 tok/sollama run nimble:9b-q8_0
Mac Studio M5 Ultra (64c GPU) 256GBOllamaQ8_010.6 GBfits in fast memory~101 tok/sollama run nimble:9b-q8_0
Mac Studio M5 Ultra (80c GPU) 256GBOllamaQ8_010.6 GBfits in fast memory~101 tok/sollama run nimble:9b-q8_0
Mac Studio M3 Ultra (80c GPU) 512GBOllamaQ8_010.6 GBfits in fast memory~69 tok/sollama run nimble:9b-q8_0

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 2026-10-19.

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