How fast will Ornith 1.5 9B feel on your hardware?

Ornith 1.5 9B speed on GPUs and Macs

Ornith 1.5 9B is a 9.65B-parameter model. Smaller quantizations need less memory and run faster, at some cost in quality. Below is the expected speed on each piece of hardware at the best quantization that fits.

HardwareQuantizationMemoryGenerationFirst token
H200 141GB (cloud)Q4_K_MFits258 tok/s0.3 s
H100 80GB (cloud)Q4_K_MFits180 tok/s0.3 s
A100 80GB (cloud)Q4_K_MFits110 tok/s0.3 s
Mac Studio M5 Ultra 512GBQ4_K_MFits98 tok/s0.3 s
NVIDIA RTX 5090 32GBQ4_K_MFits96 tok/s0.3 s
NVIDIA RTX PRO 6000 96GBQ4_K_MFits96 tok/s0.3 s
AMD RX 7900 XTX 24GBQ4_K_MFits95 tok/s0.4 s
AMD RX 7900 XT 20GBQ4_K_MFits79 tok/s0.4 s
Mac Studio M3 Ultra 512GBQ4_K_MFits67 tok/s0.4 s
AMD RX 9070 XT 16GBQ4_K_MFits64 tok/s0.3 s
AMD Radeon AI PRO R9700 32GBQ4_K_MFits64 tok/s0.3 s
NVIDIA RTX 4090 24GBQ4_K_MFits54 tok/s0.3 s
NVIDIA RTX 5080 16GBQ4_K_MFits52 tok/s0.3 s
NVIDIA RTX 3090 24GBQ4_K_MFits50 tok/s0.3 s
MacBook Pro M5 Max 128GBQ4_K_MFits50 tok/s0.3 s
NVIDIA RTX 5070 Ti 16GBQ4_K_MFits48 tok/s0.3 s
Mac Studio M4 Max 128GBQ4_K_MFits45 tok/s0.4 s
NVIDIA RTX 4070 Ti Super 16GBQ4_K_MFits36 tok/s0.3 s
MacBook M3 Max 48GBQ4_K_MFits33 tok/s0.4 s
NVIDIA RTX 4070 12GBQ4_K_MFits27 tok/s0.3 s
AMD Ryzen AI Max+ 395 128GB (Strix Halo)Q4_K_MFits25 tok/s0.4 s
MacBook Pro M5 Pro 48GBQ4_K_MFits25 tok/s0.4 s
NVIDIA RTX 5060 Ti 16GBQ4_K_MFits24 tok/s0.3 s
Mac Mini M4 Pro 64GBQ4_K_MFits22 tok/s0.5 s
MacBook M4 Pro 24GBQ4_K_MFits22 tok/s0.5 s
Intel Arc Pro B70 32GBQ4_K_MFits20 tok/s0.4 s
NVIDIA RTX 3060 12GBQ4_K_MFits19 tok/s0.3 s
MacBook M2 Pro 16GBQ4_K_MFits16 tok/s0.5 s
NVIDIA DGX Spark 128GBQ4_K_MFits15 tok/s0.3 s
CPU-only (Ryzen 9 9950X, 96GB DDR5)Q4_K_MFits10 tok/s0.5 s

Other models

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.