Document Mac V8 model-only assets alongside existing platforms

2fd6665 verified 4 days ago

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---
language:
  - multilingual
tags:
  - audio
  - music-source-separation
  - automatic-speech-recognition
  - audio-super-resolution
  - gguf
  - whisper
  - native-cpp
  - stemdeck
  - openstems
pipeline_tag: audio-to-audio
inference: false
---
# StemDeck Ultra model resources

Updated **2026-11-05**. This repository contains the complete current model-weight and model-constant set used by **StemDeck Ultra for Windows**: **17 files, 3,705,369,284 bytes**. OpenStems is the project/repository name; the application is StemDeck Ultra.

**ASR Turbo is uploaded here:** [ggml-large-v3-turbo.bin](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69/ggml-large-v3-turbo.bin) — **1,624,555,275 bytes**, original upstream **F16 GGML** artifact. [Download ASR Turbo](https://huggingface.co/OpenStems/OpenStems-Models/resolve/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69/ggml-large-v3-turbo.bin?download=true).

[Browse all current files](https://huggingface.co/OpenStems/OpenStems-Models/tree/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105) · [Exact manifest](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/models.json) · [Version-folder documentation](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/README.md)

## Current application mapping

| Application choice | Model/checkpoint | Stored format | CPU / NVIDIA GPU |
|---|---|---|---|
| Fast | B400, selected step **38200** | GGUF | Same weight file and SHA256 |
| Pro (**default**) | B62, selected step **27000** | GGUF | Same weight file and SHA256 |
| Ensemble | Karaoke followed by SW | Two GGUF files | Same two weight files and SHA256 |
| Lyrics ASR | **Whisper large-v3-turbo only** | Original **F16 GGML `.bin`** | Same ASR weight file and SHA256 |
| Optional 48kHz enhancement | LavaSR v2 | Original FP32 `.pt` asset | Matching native enhancement integration |
| Beat analysis | Beat-this final0 | `.ckpt` | Original application analysis asset |
| Song-section analysis | All-In-One Harmonix, eight folds | Eight `.pth` files | Original application analysis assets |

CPU/GPU selection changes the matching native execution backend and configuration. It does not require a second set of separation or ASR weights. GGUF is a container format and does not itself imply integer quantization. **This release adds no INT8 models.**

Separation and ASR are integrated through native inference libraries. The `.gguf` files require the matching audio-model engine and manifests; the extension alone does not establish compatibility with an unrelated GGUF runtime. Analysis assets retain the original application analysis path.

The 48kHz option is independent of Fast/Pro/Ensemble and is **off by default**. The application follows its export sample-rate settings.

## Complete downloadable inventory

All links below point to the immutable model-content revision **`f2da66683f7a0fddcd772ccd5fbf0b460378daef`**. File SHA256 values and relative installation destinations are recorded in [`models.json`](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/models.json).

| Purpose | File | Bytes | SHA256 |
|---|---|---:|---|
| Fast separation | [B400-step38200.gguf](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/293af89efaf9650be656eeac3567ecf1368effae9b9e8660dda0561c44c68690/B400-step38200.gguf) | 206,407,584 | `293af89efaf9650be656eeac3567ecf1368effae9b9e8660dda0561c44c68690` |
| Pro separation | [B62-step27000.gguf](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/1ded8095f4f99602766d8f60cf692eebd48da6bb9e8bcafb92b2c3b17468fbc3/B62-step27000.gguf) | 812,481,984 | `1ded8095f4f99602766d8f60cf692eebd48da6bb9e8bcafb92b2c3b17468fbc3` |
| Ensemble first stage | [karaoke.gguf](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/4804181ac76c3d4fc9b282884cb7b6785dd517ea5e547ee90a4d9bb5eccea338/karaoke.gguf) | 204,258,848 | `4804181ac76c3d4fc9b282884cb7b6785dd517ea5e547ee90a4d9bb5eccea338` |
| Ensemble second stage | [sw.gguf](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/68bed29111b6414a5b441bd147b341dbf311a5bbaf7eac1c1073a6a82e21eb72/sw.gguf) | 698,768,832 | `68bed29111b6414a5b441bd147b341dbf311a5bbaf7eac1c1073a6a82e21eb72` |
| ASR / lyrics | [ggml-large-v3-turbo.bin](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69/ggml-large-v3-turbo.bin) | 1,624,555,275 | `1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69` |
| Optional 48kHz enhancement | [lavasr_v2.pt](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/8ca5a4c9114761419de20a1d8231337c3ec77e5759a206b3cfa57fbe401e0911/lavasr_v2.pt) | 56,389,364 | `8ca5a4c9114761419de20a1d8231337c3ec77e5759a206b3cfa57fbe401e0911` |
| Beat analysis | [beat_this-final0.ckpt](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/8c328b45f59d8dd3dff219253ff6a8d6482be57d0133a29140e2febbf8eb8331/beat_this-final0.ckpt) | 81,058,141 | `8c328b45f59d8dd3dff219253ff6a8d6482be57d0133a29140e2febbf8eb8331` |
| B62 analysis constants | [b62-hamming.safetensors](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/20e08e4596bd9e4b07245b749b58410821a43fb037d232d7e07c87ac4e2d0da0/b62-hamming.safetensors) | 1,411,288 | `20e08e4596bd9e4b07245b749b58410821a43fb037d232d7e07c87ac4e2d0da0` |
| Karaoke / SW constants | [bs_constants.safetensors](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/15380c3bb19d15872e4934232079bd6c07a4bdf828bbc40d8ce3a9bc08fb5c4d/bs_constants.safetensors) | 8,833,400 | `15380c3bb19d15872e4934232079bd6c07a4bdf828bbc40d8ce3a9bc08fb5c4d` |
| Song-section analysis fold 0 | [harmonix-fold0-0vra4ys2.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/0db596dfb0995f41d62f6267d76a9d54c046f1649bd35e1dbeca0c5f9a7b8acd/harmonix-fold0-0vra4ys2.pth) | 1,400,571 | `0db596dfb0995f41d62f6267d76a9d54c046f1649bd35e1dbeca0c5f9a7b8acd` |
| Song-section analysis fold 1 | [harmonix-fold1-3ozjhtsj.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/607b4864eaabccd4f6951410d5ea6676666ad1cfa6ce2e18bc99f3824b77c3b7/harmonix-fold1-3ozjhtsj.pth) | 1,400,571 | `607b4864eaabccd4f6951410d5ea6676666ad1cfa6ce2e18bc99f3824b77c3b7` |
| Song-section analysis fold 2 | [harmonix-fold2-gmgo0nsy.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/67c28ec7ca612d365e5fcb152f6530eb53e34c4303940afb30fd17a295c958a4/harmonix-fold2-gmgo0nsy.pth) | 1,400,571 | `67c28ec7ca612d365e5fcb152f6530eb53e34c4303940afb30fd17a295c958a4` |
| Song-section analysis fold 3 | [harmonix-fold3-i92b7m8p.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/446d05672b2669cdb7d9b8bbbc228a4f3592484335a7995cca89a744e3950ddc/harmonix-fold3-i92b7m8p.pth) | 1,400,571 | `446d05672b2669cdb7d9b8bbbc228a4f3592484335a7995cca89a744e3950ddc` |
| Song-section analysis fold 4 | [harmonix-fold4-1bql5qo0.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/96327222ab9b33c005388b788ba602f529aa03cc4dde1c859c011f1004490493/harmonix-fold4-1bql5qo0.pth) | 1,400,571 | `96327222ab9b33c005388b788ba602f529aa03cc4dde1c859c011f1004490493` |
| Song-section analysis fold 5 | [harmonix-fold5-x4z5zeef.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/c87f162a1090290bcbb863688746784919cf912c56744fb3d81a1a7dba3b114e/harmonix-fold5-x4z5zeef.pth) | 1,400,571 | `c87f162a1090290bcbb863688746784919cf912c56744fb3d81a1a7dba3b114e` |
| Song-section analysis fold 6 | [harmonix-fold6-x7t226rq.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/13e7e639bf30fcd3fa049ad863088773a4e57b06d7c68581385b3ef625c60688/harmonix-fold6-x7t226rq.pth) | 1,400,571 | `13e7e639bf30fcd3fa049ad863088773a4e57b06d7c68581385b3ef625c60688` |
| Song-section analysis fold 7 | [harmonix-fold7-qwwskhg6.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/b888b7fba95efa3d5a37ca013fe7efe2741621ea9ca335e6b2723e4fd0fade57/harmonix-fold7-qwwskhg6.pth) | 1,400,571 | `b888b7fba95efa3d5a37ca013fe7efe2741621ea9ca335e6b2723e4fd0fade57` |

## ASR identity and provenance

The ASR file is **not a GGUF conversion and not an INT8 variant**. It is the unchanged upstream F16 large-v3-turbo GGML asset mirrored for the application's native ASR integration.

- File: `ggml-large-v3-turbo.bin`
- Bytes: **1,624,555,275**
- SHA256: **`1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69`**
- Upstream artifact provenance: [ggerganov/whisper.cpp, fixed source revision](https://huggingface.co/ggerganov/whisper.cpp/blob/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-large-v3-turbo.bin).

The application uses this one Turbo model for CPU/GPU lyrics recognition. No additional ASR model or separate alignment model is included in this release.

## Download and integrity

The application installer downloads the required resources and checks the complete file identities. Integrations should pin **`f2da66683f7a0fddcd772ccd5fbf0b460378daef`**, use the manifest, and verify SHA256 before passing files to the matching native engine.

For example, the official Hugging Face CLI can download the ASR artifact directly:

```sh
hf download OpenStems/OpenStems-Models ultra-20261105/assets/1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69/ggml-large-v3-turbo.bin --revision f2da66683f7a0fddcd772ccd5fbf0b460378daef
```

Checkpoint step counts identify the selected saved separation checkpoints. This resource card does not claim a new quality score or a hardware-independent speedup. Hardware-specific performance and numerical validation belong to the application benchmark records.

## Historical resources

Older root-level T400/B400/Karaoke/SW ZIPs and `model-files.json` are retained for reproducibility of previous application releases. **T400 is not the current Fast choice**, and the old Fast/Pro/Ultra mapping does not describe StemDeck Ultra. Current Fast/Pro/Ensemble and all ASR/analysis resources are listed above.

## Licensing and repository scope

Original model and component terms continue to apply. Format conversion, mirroring, and packaging do not relicense the weights. Consult the corresponding upstream model terms and the application's component notices. A single blanket license is not assigned to this mixed resource collection.

This repository contains model weights, model constants, and their documentation. It does not contain user recordings, training datasets, private inference SDK binaries, machine configuration, or authentication material.

## 中文说明

本仓库已包含 StemDeck Ultra 当前使用的**全部 17 项模型权重及常量**，其中包括 **ASR 的原版 F16 large-v3-turbo**。ASR 文件和直接下载入口已在本页顶部列出，不只在版本目录中说明。

当前档位：**Fast = B400 38200 步；Pro = B62 27000 步，默认 Pro；Ensemble = Karaoke → SW**。分离模型的 CPU/GPU 共用同一份 GGUF 权重；ASR 的 CPU/GPU 共用同一份 F16 GGML `.bin`。没有新增 INT8 模型或独立对齐模型。

LavaSR 48kHz 为独立可选开关，默认关闭。节拍和歌曲结构分析所需的 Beat-this、八个 All-In-One fold，以及两份模型常量，也都已上传并列入清单。旧根目录 ZIP 为历史资源，当前版本请使用本页固定版本链接和 `models.json` 校验。


<!-- StemDeck-Ultra-Mac-V8-20261105-r5 -->
## StemDeck Ultra Mac V8 model assets

Mac-native converted F32 Fast/Pro and frozen Karaoke/SW model-only archives are documented in [ultra-mac-20261105-v8-r5/models.json](ultra-mac-20261105-v8-r5/models.json). These preserve model precision and do not contain the private native engine SDK. Existing Windows and original model paths are unchanged. Original licenses continue to apply.

	---
	language:
	- multilingual
	tags:
	- audio
	- music-source-separation
	- automatic-speech-recognition
	- audio-super-resolution
	- gguf
	- whisper
	- native-cpp
	- stemdeck
	- openstems
	pipeline_tag: audio-to-audio
	inference: false
	---

	# StemDeck Ultra model resources

	Updated 2026-11-05. This repository contains the complete current model-weight and model-constant set used by StemDeck Ultra for Windows: 17 files, 3,705,369,284 bytes. OpenStems is the project/repository name; the application is StemDeck Ultra.

	ASR Turbo is uploaded here: [ggml-large-v3-turbo.bin](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69/ggml-large-v3-turbo.bin) — 1,624,555,275 bytes, original upstream F16 GGML artifact. [Download ASR Turbo](https://huggingface.co/OpenStems/OpenStems-Models/resolve/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69/ggml-large-v3-turbo.bin?download=true).

	[Browse all current files](https://huggingface.co/OpenStems/OpenStems-Models/tree/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105) · [Exact manifest](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/models.json) · [Version-folder documentation](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/README.md)

	## Current application mapping

	\| Application choice \| Model/checkpoint \| Stored format \| CPU / NVIDIA GPU \|
	\|---\|---\|---\|---\|
	\| Fast \| B400, selected step 38200 \| GGUF \| Same weight file and SHA256 \|
	\| Pro (default) \| B62, selected step 27000 \| GGUF \| Same weight file and SHA256 \|
	\| Ensemble \| Karaoke followed by SW \| Two GGUF files \| Same two weight files and SHA256 \|
	\| Lyrics ASR \| Whisper large-v3-turbo only \| Original F16 GGML `.bin` \| Same ASR weight file and SHA256 \|
	\| Optional 48kHz enhancement \| LavaSR v2 \| Original FP32 `.pt` asset \| Matching native enhancement integration \|
	\| Beat analysis \| Beat-this final0 \| `.ckpt` \| Original application analysis asset \|
	\| Song-section analysis \| All-In-One Harmonix, eight folds \| Eight `.pth` files \| Original application analysis assets \|

	CPU/GPU selection changes the matching native execution backend and configuration. It does not require a second set of separation or ASR weights. GGUF is a container format and does not itself imply integer quantization. This release adds no INT8 models.

	Separation and ASR are integrated through native inference libraries. The `.gguf` files require the matching audio-model engine and manifests; the extension alone does not establish compatibility with an unrelated GGUF runtime. Analysis assets retain the original application analysis path.

	The 48kHz option is independent of Fast/Pro/Ensemble and is off by default. The application follows its export sample-rate settings.

	## Complete downloadable inventory

	All links below point to the immutable model-content revision `f2da66683f7a0fddcd772ccd5fbf0b460378daef`. File SHA256 values and relative installation destinations are recorded in [`models.json`](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/models.json).

	\| Purpose \| File \| Bytes \| SHA256 \|
	\|---\|---\|---:\|---\|
	\| Fast separation \| [B400-step38200.gguf](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/293af89efaf9650be656eeac3567ecf1368effae9b9e8660dda0561c44c68690/B400-step38200.gguf) \| 206,407,584 \| `293af89efaf9650be656eeac3567ecf1368effae9b9e8660dda0561c44c68690` \|
	\| Pro separation \| [B62-step27000.gguf](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/1ded8095f4f99602766d8f60cf692eebd48da6bb9e8bcafb92b2c3b17468fbc3/B62-step27000.gguf) \| 812,481,984 \| `1ded8095f4f99602766d8f60cf692eebd48da6bb9e8bcafb92b2c3b17468fbc3` \|
	\| Ensemble first stage \| [karaoke.gguf](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/4804181ac76c3d4fc9b282884cb7b6785dd517ea5e547ee90a4d9bb5eccea338/karaoke.gguf) \| 204,258,848 \| `4804181ac76c3d4fc9b282884cb7b6785dd517ea5e547ee90a4d9bb5eccea338` \|
	\| Ensemble second stage \| [sw.gguf](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/68bed29111b6414a5b441bd147b341dbf311a5bbaf7eac1c1073a6a82e21eb72/sw.gguf) \| 698,768,832 \| `68bed29111b6414a5b441bd147b341dbf311a5bbaf7eac1c1073a6a82e21eb72` \|
	\| ASR / lyrics \| [ggml-large-v3-turbo.bin](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69/ggml-large-v3-turbo.bin) \| 1,624,555,275 \| `1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69` \|
	\| Optional 48kHz enhancement \| [lavasr_v2.pt](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/8ca5a4c9114761419de20a1d8231337c3ec77e5759a206b3cfa57fbe401e0911/lavasr_v2.pt) \| 56,389,364 \| `8ca5a4c9114761419de20a1d8231337c3ec77e5759a206b3cfa57fbe401e0911` \|
	\| Beat analysis \| [beat_this-final0.ckpt](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/8c328b45f59d8dd3dff219253ff6a8d6482be57d0133a29140e2febbf8eb8331/beat_this-final0.ckpt) \| 81,058,141 \| `8c328b45f59d8dd3dff219253ff6a8d6482be57d0133a29140e2febbf8eb8331` \|
	\| B62 analysis constants \| [b62-hamming.safetensors](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/20e08e4596bd9e4b07245b749b58410821a43fb037d232d7e07c87ac4e2d0da0/b62-hamming.safetensors) \| 1,411,288 \| `20e08e4596bd9e4b07245b749b58410821a43fb037d232d7e07c87ac4e2d0da0` \|
	\| Karaoke / SW constants \| [bs_constants.safetensors](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/15380c3bb19d15872e4934232079bd6c07a4bdf828bbc40d8ce3a9bc08fb5c4d/bs_constants.safetensors) \| 8,833,400 \| `15380c3bb19d15872e4934232079bd6c07a4bdf828bbc40d8ce3a9bc08fb5c4d` \|
	\| Song-section analysis fold 0 \| [harmonix-fold0-0vra4ys2.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/0db596dfb0995f41d62f6267d76a9d54c046f1649bd35e1dbeca0c5f9a7b8acd/harmonix-fold0-0vra4ys2.pth) \| 1,400,571 \| `0db596dfb0995f41d62f6267d76a9d54c046f1649bd35e1dbeca0c5f9a7b8acd` \|
	\| Song-section analysis fold 1 \| [harmonix-fold1-3ozjhtsj.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/607b4864eaabccd4f6951410d5ea6676666ad1cfa6ce2e18bc99f3824b77c3b7/harmonix-fold1-3ozjhtsj.pth) \| 1,400,571 \| `607b4864eaabccd4f6951410d5ea6676666ad1cfa6ce2e18bc99f3824b77c3b7` \|
	\| Song-section analysis fold 2 \| [harmonix-fold2-gmgo0nsy.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/67c28ec7ca612d365e5fcb152f6530eb53e34c4303940afb30fd17a295c958a4/harmonix-fold2-gmgo0nsy.pth) \| 1,400,571 \| `67c28ec7ca612d365e5fcb152f6530eb53e34c4303940afb30fd17a295c958a4` \|
	\| Song-section analysis fold 3 \| [harmonix-fold3-i92b7m8p.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/446d05672b2669cdb7d9b8bbbc228a4f3592484335a7995cca89a744e3950ddc/harmonix-fold3-i92b7m8p.pth) \| 1,400,571 \| `446d05672b2669cdb7d9b8bbbc228a4f3592484335a7995cca89a744e3950ddc` \|
	\| Song-section analysis fold 4 \| [harmonix-fold4-1bql5qo0.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/96327222ab9b33c005388b788ba602f529aa03cc4dde1c859c011f1004490493/harmonix-fold4-1bql5qo0.pth) \| 1,400,571 \| `96327222ab9b33c005388b788ba602f529aa03cc4dde1c859c011f1004490493` \|
	\| Song-section analysis fold 5 \| [harmonix-fold5-x4z5zeef.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/c87f162a1090290bcbb863688746784919cf912c56744fb3d81a1a7dba3b114e/harmonix-fold5-x4z5zeef.pth) \| 1,400,571 \| `c87f162a1090290bcbb863688746784919cf912c56744fb3d81a1a7dba3b114e` \|
	\| Song-section analysis fold 6 \| [harmonix-fold6-x7t226rq.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/13e7e639bf30fcd3fa049ad863088773a4e57b06d7c68581385b3ef625c60688/harmonix-fold6-x7t226rq.pth) \| 1,400,571 \| `13e7e639bf30fcd3fa049ad863088773a4e57b06d7c68581385b3ef625c60688` \|
	\| Song-section analysis fold 7 \| [harmonix-fold7-qwwskhg6.pth](https://huggingface.co/OpenStems/OpenStems-Models/blob/f2da66683f7a0fddcd772ccd5fbf0b460378daef/ultra-20261105/assets/b888b7fba95efa3d5a37ca013fe7efe2741621ea9ca335e6b2723e4fd0fade57/harmonix-fold7-qwwskhg6.pth) \| 1,400,571 \| `b888b7fba95efa3d5a37ca013fe7efe2741621ea9ca335e6b2723e4fd0fade57` \|

	## ASR identity and provenance

	The ASR file is not a GGUF conversion and not an INT8 variant. It is the unchanged upstream F16 large-v3-turbo GGML asset mirrored for the application's native ASR integration.

	- File: `ggml-large-v3-turbo.bin`
	- Bytes: 1,624,555,275
	- SHA256: `1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69`
	- Upstream artifact provenance: [ggerganov/whisper.cpp, fixed source revision](https://huggingface.co/ggerganov/whisper.cpp/blob/5359861c739e955e79d9a303bcbc70fb988958b1/ggml-large-v3-turbo.bin).

	The application uses this one Turbo model for CPU/GPU lyrics recognition. No additional ASR model or separate alignment model is included in this release.

	## Download and integrity

	The application installer downloads the required resources and checks the complete file identities. Integrations should pin `f2da66683f7a0fddcd772ccd5fbf0b460378daef`, use the manifest, and verify SHA256 before passing files to the matching native engine.

	For example, the official Hugging Face CLI can download the ASR artifact directly:

	```sh
	hf download OpenStems/OpenStems-Models ultra-20261105/assets/1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69/ggml-large-v3-turbo.bin --revision f2da66683f7a0fddcd772ccd5fbf0b460378daef
	```

	Checkpoint step counts identify the selected saved separation checkpoints. This resource card does not claim a new quality score or a hardware-independent speedup. Hardware-specific performance and numerical validation belong to the application benchmark records.

	## Historical resources

	Older root-level T400/B400/Karaoke/SW ZIPs and `model-files.json` are retained for reproducibility of previous application releases. T400 is not the current Fast choice, and the old Fast/Pro/Ultra mapping does not describe StemDeck Ultra. Current Fast/Pro/Ensemble and all ASR/analysis resources are listed above.

	## Licensing and repository scope

	Original model and component terms continue to apply. Format conversion, mirroring, and packaging do not relicense the weights. Consult the corresponding upstream model terms and the application's component notices. A single blanket license is not assigned to this mixed resource collection.

	This repository contains model weights, model constants, and their documentation. It does not contain user recordings, training datasets, private inference SDK binaries, machine configuration, or authentication material.

	## 中文说明

	本仓库已包含 StemDeck Ultra 当前使用的全部 17 项模型权重及常量，其中包括 ASR 的原版 F16 large-v3-turbo。ASR 文件和直接下载入口已在本页顶部列出，不只在版本目录中说明。

	当前档位：Fast = B400 38200 步；Pro = B62 27000 步，默认 Pro；Ensemble = Karaoke → SW。分离模型的 CPU/GPU 共用同一份 GGUF 权重；ASR 的 CPU/GPU 共用同一份 F16 GGML `.bin`。没有新增 INT8 模型或独立对齐模型。

	LavaSR 48kHz 为独立可选开关，默认关闭。节拍和歌曲结构分析所需的 Beat-this、八个 All-In-One fold，以及两份模型常量，也都已上传并列入清单。旧根目录 ZIP 为历史资源，当前版本请使用本页固定版本链接和 `models.json` 校验。


	<!-- StemDeck-Ultra-Mac-V8-20261105-r5 -->
	## StemDeck Ultra Mac V8 model assets

	Mac-native converted F32 Fast/Pro and frozen Karaoke/SW model-only archives are documented in [ultra-mac-20261105-v8-r5/models.json](ultra-mac-20261105-v8-r5/models.json). These preserve model precision and do not contain the private native engine SDK. Existing Windows and original model paths are unchanged. Original licenses continue to apply.