Ace-Step1.5 · Serveurperso

Ace-Step1.5 BF16

This file is exactly 88,081,897,920 bytes — 82.03 GiB / 88.08 GB.

From the file· 15 file(s), summed

Get it

82.03 GiB · 15 files
llama.cpp
llama-cli -hf Serveurperso/ACE-Step-1.5-GGUF:BF16

Downloads and runs in one step, resolving the quantization by name.

Hugging Face CLI
hf download Serveurperso/ACE-Step-1.5-GGUF --include "acestep-5Hz-lm-0.6B-BF16.gguf"

This quantization is split across 15 files totalling 82.03 GiB. You need every part — the first is not a smaller version of the model.

Size
82.03 GiB
88.08 GB
Effective bpw
from real bytes ÷ params
Tensors
Header
GGUF metadata

Fit by accelerator

AcceleratorMemoryTotal @4KTotal @32KFitstok/s @4K
Arc A310 4GB4 GB83.05 GiB84.36 GiBno
Arc A350M 4GB4 GB83.05 GiB84.36 GiBno
Arc A370M 4GB4 GB83.05 GiB84.36 GiBno
Arc A530M 4GB4 GB83.05 GiB84.36 GiBno
Arc Pro A30M 4GB4 GB83.05 GiB84.36 GiBno
Radeon Pro W64004 GB83.15 GiB84.46 GiBno
Radeon RX 64004 GB83.15 GiB84.46 GiBno
Radeon RX 6500 XT4 GB83.15 GiB84.46 GiBno
RTX A4004 GB83.25 GiB84.56 GiBno
Arc A380 6GB6 GB83.05 GiB84.36 GiBno
Arc Pro A40 6GB6 GB83.05 GiB84.36 GiBno
Arc Pro A50 6GB6 GB83.05 GiB84.36 GiBno
GeForce RTX 20606 GB83.05 GiB84.36 GiBno
GeForce RTX 30506 GB83.05 GiB84.36 GiBno
GeForce RTX 3060 OEM6 GB83.05 GiB84.36 GiBno
RTX A20006 GB83.25 GiB84.56 GiBno
Apple M18 GB82.80 GiB84.11 GiBno
Apple M28 GB82.80 GiB84.11 GiBno
Apple M38 GB82.80 GiB84.11 GiBno
Apple M48 GB82.80 GiB84.11 GiBno
Arc A530M 8GB8 GB83.05 GiB84.36 GiBno
Arc A550M 8GB8 GB83.05 GiB84.36 GiBno
Arc A570M 8GB8 GB83.05 GiB84.36 GiBno
Arc A580 8GB8 GB83.05 GiB84.36 GiBno
Spec sheetPredictedwhat these mean

Memory at context

ContextWeightsKV (f16)KV (q8_0)Working bufferTotal (f16)
4,09682.03 GiB0.22 GiB0.12 GiB0.29 GiB82.55 GiB
8,19282.03 GiB0.41 GiB0.22 GiB0.29 GiB82.73 GiB
16,38482.03 GiB0.79 GiB0.42 GiB0.29 GiB83.11 GiB
32,76882.03 GiB1.54 GiB0.82 GiB0.29 GiB83.86 GiB
65,53682.03 GiB3.04 GiB1.61 GiB0.29 GiB85.36 GiB
131,07282.03 GiB6.04 GiB3.21 GiB0.29 GiB88.36 GiB
From the filePredictedwhat these mean

Quantizing the KV cache to q8_0 is a roughly 2× lever on the dominant term at long context, and it is the single most useful setting most local users never touch. Totals here exclude the allocator reserve your driver takes, which is hardware-specific — the per-accelerator table above includes it.