acestep-v15-xl-sft
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
acestep-v15-xl-sft is an open-weight audio and music generation model from ACE-Step, published on Hugging Face in April 2026. It has 5B parameters and is released under the mit license.
HardwareLink to this section
At full FP16 precision the weights need about 10 GB of memory; 8-bit quantization brings that to roughly 5 GB. Check the VRAM tiers above to see which GPUs fit it.
PopularityLink to this section
acestep-v15-xl-sft had 10,198 downloads on Hugging Face in the last month and has 105 likes.
Run it locallyLink to this section
The weights are on Hugging Face and load with Hugging Face Transformers. Follow the model card for the exact setup and license terms.
Frequently asked
Quick answers to common questions
How much VRAM does acestep-v15-xl-sft need?
acestep-v15-xl-sft with 5B parameters needs approximately 3 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is acestep-v15-xl-sft better than other ACE-Step models?
acestep-v15-xl-sft has 5B parameters with 32,768 context - a strong choice for audio-generation, music-generation.
What license is acestep-v15-xl-sft under?
acestep-v15-xl-sft is released under the mit license, making it suitable for most commercial and personal projects.
What hardware runs acestep-v15-xl-sft well?
With 5B parameters, acestep-v15-xl-sft requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for acestep-v15-xl-sft?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~4 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can acestep-v15-xl-sft's context window handle?
acestep-v15-xl-sft supports a 32,768-token context window - enough for most medium-length documents and conversations. Real-world usable context may vary by implementation.
What models compete with acestep-v15-xl-sft?
acestep-v15-xl-sft competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec