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[third-intelligence/Haas-ja-v1.0](https://huggingface.co/third-intelligence/Haas-ja-v1.0/tree/660728d39019e5e065046154beca44ac9a66a540). - -Japanese FastConformer-TDT ASR with a Kimi Delta Attention predictor. Use the -`haas_asr` family with the F16 or Q8_0 GGUF. - -```bash -audiocpp_cli --task asr --family haas_asr \ - --model haas-ja-v1.0-q8_0.gguf --backend cuda \ - --session-option haas_asr.matmul_weight_type=q8_0 \ - --audio japanese.wav --text-out transcript.txt --log -``` - -The encoder is full-context. Buffered streaming uses audio.cpp's Parakeet -interface; this is not a native cache-aware streaming checkpoint. - -The existing `haas_asr.matmul_weight_type=q8_0` session option also keeps -load-time packed and scaled projections in Q8_0. With `native`, projections -constructed from float32 values retain float32 storage. Omit the override when -using the F16 package if that precision is preferred. - -## CUDA performance - -RTX 5090, Debug audio.cpp build, one session with a short warmup followed by -24 Japanese JSUT test utterances (97.91 seconds total), one utterance per -request. audio.cpp uses Q8_0 weights and -`haas_asr.matmul_weight_type=q8_0`; official Haas Python uses its default -BF16 precision. Warmup is excluded from RTF. 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+size 1272140064 diff --git a/Irodori-TTS-v4-Small-GGUF/README.md b/Irodori-TTS-v4-Small-GGUF/README.md deleted file mode 100644 index c5f87d5a033ea4d51d1d46e5b2638f20c4a094e2..0000000000000000000000000000000000000000 --- a/Irodori-TTS-v4-Small-GGUF/README.md +++ /dev/null @@ -1,44 +0,0 @@ ---- -license: mit -language: -- ja -tags: -- text-to-speech -- gguf ---- - -# Irodori-TTS v4 Small GGUF - -Follow [audio.cpp](https://github.com/0xShug0/audio.cpp) for runtime support and updates. - -This directory contains the RF, Anime, and MeanFlow variants. -The MeanFlow files are converted from [Aratako/Irodori-TTS-v4.1-Small-MF](https://huggingface.co/Aratako/Irodori-TTS-v4.1-Small-MF/tree/ccc78f5d480b6e51b69b2d5042a14c4da04fea6e). -The model, tokenizer, configuration, and DACVAE codec are contained in each GGUF. - -| File | Precision | Sampler | -|---|---|---| -| `irodori-tts-v4-small-q8_0.gguf` | Q8_0 | RF | -| `irodori-tts-v4-small-f16.gguf` | F16 | RF | -| `irodori-tts-v4.1-anime-q8_0.gguf` | Q8_0 | RF | -| `irodori-tts-v4.1-small-mf-q8_0.gguf` | Q8_0 | MeanFlow | -| `irodori-tts-v4.1-small-mf-f16.gguf` | F16 | MeanFlow | - -The MF files require audio.cpp with Irodori MeanFlow support. The checkpoint selects the -MeanFlow sampler automatically, using four steps by default. RF checkpoints -continue to use their own sampler. - -```bash -audiocpp_cli --task tts --family irodori_tts \ - --model irodori-tts-v4.1-small-mf-q8_0.gguf \ - --backend cuda --text "こんにちは、私はAIです。これは音声合成のテストです。" \ - --request-option no_ref=true --out speech.wav -``` - -For cloning, use `--task clon --voice-ref reference.wav` without `no_ref=true`. -Voice design uses `--request-option instruct="..."` with `no_ref=true`. -`num_inference_steps` overrides the step count. Runtime CFG and Sway controls -do not apply to this distilled checkpoint. - -See the [audio.cpp model guide](https://github.com/0xShug0/audio.cpp/blob/main/docs/models/irodori_tts.md) -and [upstream model card](https://huggingface.co/Aratako/Irodori-TTS-v4.1-Small-MF) -for usage and model limitations. diff --git a/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-f16.gguf b/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-f16.gguf index c1ab7b5dcd0692317c2da7701585d656212c5b7c..dbff529f1182b46b5c06e0b7fb2137e14d671cb1 100644 --- a/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-f16.gguf +++ b/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-f16.gguf @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:9bf7e431597f21d1ee4fd48fd4f0bbdc83c83ba6f47c6e4ea0557cbf69aaeda5 -size 1762151136 +oid sha256:4c30f25aaeb7c273194ee11e25c2ca3e7abde4c09dba8d86b1727528a57bfdd8 +size 1762148352 diff --git a/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-q8_0.gguf 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OpenMOSS-Team/MOSS-SoundEffect-v2.0 -tags: -- audio.cpp -- gguf -- sound-effects ---- - -# MOSS-SoundEffect v2 GGUF - -Follow or star [audio.cpp](https://github.com/0xShug0/audio.cpp) for the native -inference code and model updates. - -Generate sound effects from English or Chinese descriptions, with 48 kHz mono -output. Each package contains the Qwen3 text encoder, audio diffusion transformer, -continuous DAC decoder, tokenizer, and embedded model specification. - -The upstream checkpoint is -[OpenMOSS-Team/MOSS-SoundEffect-v2.0](https://huggingface.co/OpenMOSS-Team/MOSS-SoundEffect-v2.0/tree/e35df4d82fbe87fcd5d14e5d100e349c0c3c076d), -pinned at `e35df4d82fbe87fcd5d14e5d100e349c0c3c076d`. -The implementation reference is -[OpenMOSS/MOSS-TTS](https://github.com/OpenMOSS/MOSS-TTS/tree/4cf2dab88fc8711aef93089b3b75c0ae07373e47/moss_soundeffect_v2). - -| File | Transformer weights | DAC decoder | -|---|---|---| -| `moss-soundeffect-v2-q8_0.gguf` | Q8_0 matrices, F16 embeddings | F32 | -| `moss-soundeffect-v2-bf16.gguf` | BF16 matrices | F32 | - -Timestep embedding, modulation and normalization retain F32, matching upstream. -The runtime family is `moss_soundeffect`; these packages implement v2. - -## Performance - -RTX 5090, CUDA, eight CPU threads, offline generation after a short warmup. -Mean of two different 10-second outputs, using 100 Euler steps, guidance 4, -shift 5, and the trained 30-second latent window. Python uses the official -BF16 eager pipeline. Peak VRAM is observed process memory. - -| Runtime | RTF | Peak VRAM (MiB) | -|---|---:|---:| -| Official Python BF16 | 0.692 | 18,586 | -| audio.cpp BF16 | 0.999 | 11,347 | -| audio.cpp Q8_0 | 0.849 | 8,853 | - -Q8_0 reduces peak VRAM by about 52% versus Python in this comparison; -native generation is currently slower. Lower RTF is faster. - -## Usage - -```bash -audiocpp_cli --model moss-soundeffect-v2-q8_0.gguf \ - --family moss_soundeffect --task gen --backend cuda \ - --text "Steady rain pattering on a wooden roof, with distant thunder." \ - --request-option duration_sec=10 --out rain.wav --log -``` - -Output duration is 0.1–30 seconds, rounded to one decimal. The model always -denoises its trained 30-second window and crops the resulting waveform. -The default is 100 Euler steps, guidance scale 4, and seed 0. -It supports offline generation, not streaming. - -See the [model documentation](https://github.com/0xShug0/audio.cpp/blob/main/docs/models/moss_soundeffect.md) -for request options and conversion instructions. Model weights and upstream code -are Apache-2.0 licensed. diff --git a/MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-bf16.gguf b/MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-bf16.gguf deleted file mode 100644 index ac75cecaa6e9886dd61bfaeeb2b9fd6524e40683..0000000000000000000000000000000000000000 --- a/MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-bf16.gguf +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:28804478da9867f70ba85385580e597d2279ee4550aff0624d0032dd28dfa706 -size 6627551200 diff --git a/MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-q8_0.gguf b/MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-q8_0.gguf deleted file mode 100644 index 4278768b601979e0d747f195275d1f82919b1f99..0000000000000000000000000000000000000000 --- a/MOSS-SoundEffect-v2-GGUF/moss-soundeffect-v2-q8_0.gguf +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:99feab80176e5fdd178aa005fa5e4079f8f6a8c45e576b8c4b48f26981ce63a1 -size 4001175520 diff 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All rights reserved except as expressly granted -below. - -1. Scope - -These terms apply to all MuLaCover checkpoint weights distributed by MuLa -Labs, including the MuLaCover-oss model weights and any fine-tuned, converted, -quantized, merged, or otherwise modified versions derived from those weights -(collectively, the "Model Weights"). They do not replace the licenses that -apply to MuLaCover source code or third-party components. - -2. Model Weight License - -The Model Weights are licensed under the Creative Commons -Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0): - -https://creativecommons.org/licenses/by-nc/4.0/legalcode - -You may copy, share, and adapt the Model Weights only for noncommercial -purposes and only in compliance with CC BY-NC 4.0, including its attribution -requirements. Attribute the Model Weights as "MuLaCover by MuLa Labs" and -include a link to the official MuLaCover repository: - -https://github.com/HeartMuLa/MuLaCover - -3. Generated Output Restriction - -In addition to the Model Weight License, and as a condition of accessing or -using the Model Weights, you may use outputs generated with the Model Weights -only for noncommercial purposes. "Outputs" include generated or transformed -audio, music, MIDI, tokens, latent representations, and other material produced -through use of the Model Weights. - -Without a separate written commercial license from MuLa Labs, you may not sell, -license for a fee, monetize, commercially distribute, commercially publish, use -in advertising, use in a paid product or service, or otherwise exploit Outputs -for commercial advantage or monetary compensation. - -These output terms are separate terms governing use of Outputs and access to -the Model Weights. They do not modify the text of CC BY-NC 4.0. They apply only -to the extent MuLa Labs has rights or contractual authority to impose them and -do not limit rights that cannot lawfully be restricted. - -4. Commercial Licensing - -Commercial use of the Model Weights or Outputs requires a separate written -license from MuLa Labs. Contact MuLa Labs through the official repository for -commercial licensing inquiries. - -5. Third-Party Rights and User Responsibility - -These terms grant no rights in third-party source recordings, compositions, -lyrics, performances, datasets, trademarks, or other material. You are solely -responsible for obtaining all permissions required for your inputs and Outputs -and for complying with applicable law. Third-party components remain subject -to their respective licenses and notices. - -6. Disclaimer - -TO THE EXTENT PERMITTED BY LAW, THE MODEL WEIGHTS AND OUTPUTS ARE PROVIDED -"AS IS", WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND. MULA LABS WILL NOT BE -LIABLE FOR CLAIMS, DAMAGES, OR OTHER LIABILITY ARISING FROM THEIR USE. diff --git a/MuLaCover-GGUF/README.md b/MuLaCover-GGUF/README.md deleted file mode 100644 index 6f602c0a6f8d680789db94d477b44b3405a7ed92..0000000000000000000000000000000000000000 --- a/MuLaCover-GGUF/README.md +++ /dev/null @@ -1,83 +0,0 @@ ---- -library_name: audio.cpp -license: cc-by-nc-4.0 -base_model: -- HeartMuLa/MuLaCover -- Qwen/Qwen3-Embedding-0.6B -- HeartMuLa/HeartCodec-oss-20260123 -tags: -- audio.cpp -- gguf -- music -- text-to-audio -- audio-to-audio ---- - -# MuLaCover GGUF - -Follow or star [audio.cpp](https://github.com/0xShug0/audio.cpp) for the native inference implementation. - -MuLaCover generates cover songs from reference audio or melody/chord MIDI, with -new lyrics and style conditioning. These packages contain the complete pipeline: -MuLaCover, the Qwen3 style encoder, HeartCodec, YourMT3, and five ChordNet folds. - -The base checkpoint is pinned to -[HeartMuLa/MuLaCover at bbbaef2b31835c2ef5172ff528dbe325230d46fb](https://huggingface.co/HeartMuLa/MuLaCover/tree/bbbaef2b31835c2ef5172ff528dbe325230d46fb). -The reference implementation is -[HeartMuLa/MuLaCover at e27fa7fa0da7c9817879cc6210cc5693f9327946](https://github.com/HeartMuLa/MuLaCover/tree/e27fa7fa0da7c9817879cc6210cc5693f9327946). - -> [!IMPORTANT] -> Upstream restricts the model weights and generated outputs to noncommercial use. -> Read [MODEL_LICENSE](MODEL_LICENSE). The Apache-2.0 code license does not grant -> commercial rights to the weights or generated audio. - -## Packages - -| File | Storage | -|---|---| -| `mulacover-f16.gguf` | FP16 floating weights, FP32 vector parameters | -| `mulacover-q8_0.gguf` | Q8 eligible matrix weights across components, FP16 convolutions and lookup tables, FP32 vector parameters | - -Both files embed the model contract, configuration, tokenizers and chord vocabulary. -Use the `mulacover` family. Generation is offline; progress through audio frames -is not a streaming waveform API. - -## Download - -```bash -hf download audio-cpp/audio.cpp-gguf \ - --include "MuLaCover-GGUF/*" --local-dir models -``` - -## Generate from MIDI - -```bash -audiocpp_cli --task gen --family mulacover \ - --model models/MuLaCover-GGUF/mulacover-q8_0.gguf --backend cuda \ - --text '[Verse] A morning light across the sea. [Chorus] Keep a little hope for me.' \ - --request-option 'tags=topic:[hope]; genre:[folk]; instrument:[piano]; mood:[warm]' \ - --request-option melody_file=melody.mid \ - --request-option chord_file=chord.mid \ - --request-option seed=1234 --out cover.wav --log -``` - -Add `--request-option drum_file=drums.mid` for drum conditioning. MIDI timing -uses musical ticks; its tempo is not a separate target-tempo control. - -## Generate from reference audio - -```bash -audiocpp_cli --task gen --family mulacover \ - --model models/MuLaCover-GGUF/mulacover-q8_0.gguf --backend cuda --audio reference.wav \ - --text '[Verse] A morning light across the sea. [Chorus] Keep a little hope for me.' \ - --request-option 'tags=topic:[hope]; genre:[folk]; instrument:[piano]; mood:[warm]' \ - --request-option seed=1234 --out cover.wav --log -``` - -Tempo is estimated automatically. Set `--request-option bpm=120` to supply the -reference tempo explicitly. Reference audio and MIDI inputs are mutually exclusive. -Upstream selects the transcribed lead-singing track as melody; input without a -detected melody is rejected. Reference-audio preprocessing requires SOXR support. - -`duration_sec` defaults to a 300-second maximum generation budget. The model can -stop earlier at EOS. The prompt and frame budget must fit the 8,192-token context. diff --git a/MuLaCover-GGUF/mulacover-f16.gguf b/MuLaCover-GGUF/mulacover-f16.gguf deleted file mode 100644 index bfc4144510f9428c3fe91e76a5d29303db783a44..0000000000000000000000000000000000000000 --- a/MuLaCover-GGUF/mulacover-f16.gguf +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5a73ce63ab2c4b8a9bd606d40ccf83f95ed68ecc8ac2c6210e45cf2dc56e3b57 -size 13380996416 diff --git a/MuLaCover-GGUF/mulacover-q8_0.gguf b/MuLaCover-GGUF/mulacover-q8_0.gguf deleted file mode 100644 index ea5725c160db40c203fc41bcf9fda1b7d7c0f613..0000000000000000000000000000000000000000 --- a/MuLaCover-GGUF/mulacover-q8_0.gguf +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5daca50ce959c63dcfef3be1e3a7cd855eee753a91cab1a3475da1af781e4518 -size 8220378496 diff --git a/MuScriptor-Small-GGUF/muscriptor-large-f32.gguf b/MuScriptor-Small-GGUF/muscriptor-large-f32.gguf deleted file 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Except for the limited purpose of indicating that -material is shared under a Creative Commons public license or as -otherwise permitted by the Creative Commons policies published at -creativecommons.org/policies, Creative Commons does not authorize the -use of the trademark "Creative Commons" or any other trademark or logo -of Creative Commons without its prior written consent including, -without limitation, in connection with any unauthorized modifications -to any of its public licenses or any other arrangements, -understandings, or agreements concerning use of licensed material. For -the avoidance of doubt, this paragraph does not form part of the -public licenses. - -Creative Commons may be contacted at creativecommons.org. diff --git a/Orukeet-GGUF/NOTICE.md b/Orukeet-GGUF/NOTICE.md deleted file mode 100644 index 822797b5a6c573c4c19f7a63cb27c424a1ed18d2..0000000000000000000000000000000000000000 --- a/Orukeet-GGUF/NOTICE.md +++ /dev/null @@ -1,70 +0,0 @@ -# Attribution and license scope - -Orukeet is an adaptation of **NVIDIA Parakeet TDT 0.6B v3**. NVIDIA retains -copyright in its model and upstream work. The base weights are distributed -under [CC BY 4.0](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3). -Oruk AI's changes comprise multilingual/accent continuation training, parameter -blending, fitted and frozen Gabor-kernel replacement and recovery, native and ONNX -export, application integration and evaluation. [Model stages](https://github.com/Oruk-AI/orukeet/blob/main/release/model-stages.json) -identifies r3 as the source of every current Orukeet download and records its ancestry. - -The r3 NeMo, ONNX INT8, Q8 GGUF and F16 GGUF weights, and their fitted Gabor kernels, -are designated **CC BY-SA 4.0**. -The complete license is in [LICENSE-WEIGHTS](LICENSE-WEIGHTS). This permits -commercial use and modification, with attribution and applicable ShareAlike -requirements. Earlier checkpoints retain their source notices and are not -silently relicensed by this file. Orukeet v0.1.0 distributes the final r3 checkpoint in all four formats. - -Python and integration code in this repository is MIT unless a file specifies -otherwise. The native bindings, audio windowing and worker transport derive -from OpenWhisper by Knuckles92 and its Oruk AI integration; their MIT notice is -retained in [LICENSE](LICENSE). The downloaded NVIDIA NeMo-Speech.cpp SDK and -its bundled dependencies retain their own notices, including Apache-2.0 and -MIT components. Keep the SDK's license files when redistributing it. The -[pinned source](https://github.com/NVIDIA/NeMo-Speech.cpp/tree/4f9676226f667d14608487df744f375db87127f8) -is the authority for those terms. - -The ONNX exporter follows sherpa-onnx's Parakeet TDT v3 conversion script. -Its upstream reference and Apache-2.0 license are retained in -[export/onnx](https://github.com/Oruk-AI/orukeet/blob/main/export/onnx/README.md). The ONNX archive includes the weight -license and source attribution. The optimized ONNX encoder uses exactly equivalent FP32 arithmetic for 24 quantized depthwise convolutions, with existing runtime operators and unchanged quantized values. Original export and separate optimization receipts are retained in the GitHub repository under `evidence/onnx-r3-20260910/` and `evidence/speed20260910/`. - -Training data credits: - -- Mozilla/Common Voice contributors: Common Voice 22, CC0. -- Google and the FLEURS authors: FLEURS, CC BY 4.0. -- Google and the OpenSLR 83 authors, with the `ylacombe/english_dialects` - restructuring: English dialect speech, CC BY-SA 4.0. -- Beijing Kingline Data Technology and the SpeechOcean762 authors: - SpeechOcean762, CC BY 4.0. -- SpeechColab and the GigaSpeechBench authors: 17 English accent/domain splits - in the final continuation. Their paper identifies Creative Commons source audio; - the source record below preserves the available license details. -- DISCO at ETH Zurich and the EuroSpeech contributors: Bulgarian, Greek and - Italian parliamentary speech, with the providers' country-specific terms. -- SberDevices and the Golos authors: Golos Crowd, under the - [Public license with attribution and conditions reserved](https://github.com/sberdevices/golos/blob/master/license/en_us.pdf). -- Nordisk Språkteknologi, the National Library of Norway and the Alexandra - Institute: NST Swedish and Danish, distributed under CC0. -- ILSP/Athena Research Center and the Lesbian Speech Corpus contributors: - dialect speech from Lesbos. The source card does not specify a reuse license. - -Data were filtered, split, normalized and sampled as described in -[data and licenses](https://github.com/Oruk-AI/orukeet/blob/main/docs/data-and-licenses.md). Corpus copyrights and source -terms remain with their owners. Evaluation-only data have separate terms. -No endorsement by NVIDIA, Mozilla, Google or the other source projects is implied. - -The generated statistical records in `evidence/metric-evidence.tar.gz`, the -Gabor recovery count bundles under `training/gabor_half/results/`, and the -FT-4035 benchmark counts under `evidence/regression-ft-20260907/` are -designated CC BY 4.0, attributed to Oruk AI. This designation covers the -prepared metric records; it does not relicense the original corpus recordings -or transcripts, which are not included in that archive. - -The r3 numeric benchmark records in `evidence/standard-asr-r3-20260908/` and -`evidence/domains-r3-20260908/` are released under CC BY 4.0. They contain -error counts and recording identifiers; dataset audio remains with its providers. - -The paired ONNX application benchmark counts in `evidence/onnx-r3-20260910/` -are also released under CC BY 4.0. These records contain numeric errors, -timings and recording identifiers, without corpus audio or transcripts. diff --git a/Orukeet-GGUF/README.md b/Orukeet-GGUF/README.md deleted file mode 100644 index 72158e09e9e2634651e08a117e543b9ea1d7639b..0000000000000000000000000000000000000000 --- a/Orukeet-GGUF/README.md +++ /dev/null @@ -1,61 +0,0 @@ ---- -library_name: audio.cpp -license: cc-by-sa-4.0 -pipeline_tag: automatic-speech-recognition -base_model: -- oruk/orukeet -tags: -- audio.cpp -- gguf -- parakeet ---- - -# Orukeet r3 GGUF - -Follow or star [audio.cpp](https://github.com/0xShug0/audio.cpp) for inference code and model updates. - -Orukeet r3 is a fine-tune of NVIDIA Parakeet-TDT-0.6B-v3. These packages run -with the existing `parakeet_tdt` family; no separate model implementation is required. -Each GGUF includes the model weights, tokenizer, configuration, conversion provenance, -license notices, and audio.cpp model contract. - -| File | Weight precision | -|---|---| -| `orukeet-q8_0.gguf` | Q8_0 | -| `orukeet-f16.gguf` | F16 | - -## Usage - -```bash -audiocpp_cli --model Orukeet-GGUF/orukeet-q8_0.gguf \ - --family parakeet_tdt --task asr --backend cuda \ - --audio input.wav --text-out transcript.txt --words-out words.json --log -``` - -Use the F16 filename for the F16 package. See the -[Parakeet-TDT documentation](https://github.com/0xShug0/audio.cpp/blob/main/docs/models/parakeet_tdt.md) -for additional options and streaming support. - -## Source and conversion - -Converted from the official -[oruk/orukeet checkpoint](https://huggingface.co/oruk/orukeet/tree/555136b50265a132d4cea0d35560c26fc4f657ab), -pinned at `555136b50265a132d4cea0d35560c26fc4f657ab`. -The source file is `orukeet-v0.1.0.nemo`, SHA-256: - -```text -031c8ddab4845aeced904a7cde8e8aa57993b2e344716cf83a545b079c473b56 -``` - -Conversion uses audio.cpp's -[Orukeet converter](https://github.com/0xShug0/audio.cpp/blob/main/tools/community_models/convert_orukeet.py) -and `audiocpp_gguf`. The checkpoint is mapped to the existing Parakeet tensor -layout, retaining the stock tokenizer and compatible frontend configuration. - -## License and attribution - -Orukeet r3 weights and fitted kernels are **CC BY-SA 4.0**, retaining NVIDIA's -**CC BY 4.0** foundation attribution. See [LICENSE-WEIGHTS](LICENSE-WEIGHTS), -[NOTICE.md](NOTICE.md), and [conversion provenance](provenance.json). -The accompanying notices are from upstream revision -`b59c13a733fce5cf193230d0fa317ee7f145a108`. diff --git a/Orukeet-GGUF/orukeet-f16.gguf b/Orukeet-GGUF/orukeet-f16.gguf deleted file mode 100644 index 9d4f66b7eae2eb62f1c0659e09b29bf52fb1c10c..0000000000000000000000000000000000000000 --- a/Orukeet-GGUF/orukeet-f16.gguf +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1cc0b62acb0473e2cd79ac003cbda9c1f46821da06f9d3cc173271fb9fe1a5e1 -size 1255558720 diff --git a/Orukeet-GGUF/orukeet-q8_0.gguf b/Orukeet-GGUF/orukeet-q8_0.gguf deleted file mode 100644 index 66650d0730c1634bdb4d82db28613736fbbcf63c..0000000000000000000000000000000000000000 --- a/Orukeet-GGUF/orukeet-q8_0.gguf +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:420d78f2cb9c570127bfcef36c0e2b8f95e07f81c3722fece598d8c88fbd11ce -size 915908144 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sha256:73f0e8fd85472057289b0ae6098be473a5d112cc01b0ecb17f423198bcf445e1 +size 127858240 diff --git a/PocketTTS-Small-GGUF/README.md b/PocketTTS-Small-GGUF/README.md deleted file mode 100644 index 7d21fcfe9b722a200a78386006e2471ed26706a1..0000000000000000000000000000000000000000 --- a/PocketTTS-Small-GGUF/README.md +++ /dev/null @@ -1,50 +0,0 @@ ---- -license: cc-by-4.0 -base_model: -- kyutai/pocket-tts -library_name: audio.cpp -language: -- en -tags: -- audio.cpp -- gguf -- text-to-speech -- voice-cloning -- streaming -pipeline_tag: text-to-speech ---- - -# PocketTTS Small GGUF - -Follow or star [audio.cpp](https://github.com/0xShug0/audio.cpp) for the inference code and updates. - -English PocketTTS Small checkpoints from [Kyutai](https://huggingface.co/kyutai/pocket-tts/tree/db04f0e653473e5c7333c69686ac92b7460b0c1d/languages), converted to F32 GGUF. The `pocket_tts_small` family supports text-to-speech, reference-audio voice cloning, and streaming. - -| Variant | Weights | Predefined voice | -|---|---|---| -| 18M ReFL (default) | `english-18m-refl/english-18m-refl-f32.gguf` | `english-18m-refl/embeddings/alba.safetensors` | -| 18M | `english-18m/english-18m-f32.gguf` | `english-18m/embeddings/alba.safetensors` | -| 7M ReFL | `english-7m-refl/english-7m-refl-f32.gguf` | `english-7m-refl/embeddings/alba.safetensors` | -| 7M | `english-7m/english-7m-f32.gguf` | `english-7m/embeddings/alba.safetensors` | -| 2M ReFL | `english-2m-refl/english-2m-refl-f32.gguf` | `english-2m-refl/embeddings/alba.safetensors` | -| 2M | `english-2m/english-2m-f32.gguf` | `english-2m/embeddings/alba.safetensors` | - -Keep each variant's own `embeddings` directory beside its GGUF. The configuration and tokenizer are embedded in the GGUF. Voice states belong to their respective checkpoints and should not be exchanged between variants. - -## Usage - -```sh -audiocpp_cli --family pocket_tts_small --task tts \ - --model PocketTTS-Small-GGUF/english-18m-refl/english-18m-refl-f32.gguf \ - --backend cpu --voice-id alba \ - --text "Hello! This is the small PocketTTS model speaking locally." \ - --out output.wav --log -``` - -Select `--mode streaming` for streaming synthesis. To clone a voice, use `--task clon --voice-ref reference.wav` instead of `--voice-id alba`. GPU backends use GGML graphs; select `--backend cuda` or `--backend vulkan` in a corresponding build. - -Offline waveform decoding uses bounded causal blocks to limit memory usage. Use `--session-option pocket_tts_small.attention=flash` and `--session-option pocket_tts_small.kv_cache_type=f16` to select flash acoustic attention and F16 KV storage independently. Defaults are eager attention and F32 KV storage; the GGUF weights remain unchanged. See the [model documentation](https://github.com/0xShug0/audio.cpp/blob/main/docs/models/pocket_tts_small.md) for controls and the experimental C++ batch interface. - -## Attribution - -Original models and implementation: [Kyutai PocketTTS](https://github.com/kyutai-labs/pocket-tts), code revision [`4cc57533`](https://github.com/kyutai-labs/pocket-tts/tree/4cc5753319ceddc5cbf70598d9011f1f22858ba0). Checkpoint revision: [`db04f0e6`](https://huggingface.co/kyutai/pocket-tts/tree/db04f0e653473e5c7333c69686ac92b7460b0c1d). 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a/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-bf16.gguf b/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-bf16.gguf index e975455be9faeeadab598046e5d1247c6c5f5ccf..659b372bbfc27760e9eb788ad74af8110b24fa38 100644 --- a/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-bf16.gguf +++ b/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-bf16.gguf @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:5be0742e196ea9cd9ce0d7d8b69b0fc4fa8181b06cb0bd0591fb1dcdfce6c5a5 -size 4179155488 +oid sha256:ef55652c7aa919dc5eeb7967c782a17a6f5d9a8b775337376a4678d37e71a11c +size 4179144352 diff --git a/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf b/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf index 90d7153cc42c2c96e76a3d1c58c61825d28436de..a6a4d8a61303cf15dcc8848e3c3e5ee0d0438133 100644 --- a/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf +++ b/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:c8ac3f94b6e73f137c0e7ecc9270bc8faec7a476ff799b87e48844d1d0987ac3 -size 2817055200 +oid sha256:3cfaac8e9f13554f6daea3c5e0c53fede71ef5500cbaae7445e5fc3a5bb12e72 +size 2817044064 diff --git a/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-bf16.gguf b/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-bf16.gguf index 64d84a843aa7e3b26645eed651303e63d60a6860..c7fa95acfe719360e33c9e7f8fed8151ed5bc4fc 100644 --- a/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-bf16.gguf +++ b/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-bf16.gguf @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:f12c79e8c492f006b04f5ba823bebe512c9d46e13a7837081f1d34803b4bac0e -size 4179100352 +oid sha256:f4cebcd68023a2db7c3fc8d52d1d28eafb22d4e3b7a64e12c4f946a300536f86 +size 4179089248 diff --git a/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf b/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf index 799054c21d30b1e603ae82fd72d5e1da237a6024..19f750ee548f2a7e5b0c1b0a2dd6291548ee5448 100644 --- a/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf +++ b/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b86e03d1d2077bbaed157ab7a7fc646c3e309e69afa52c5e1c86b622b4715057 -size 2817000064 +oid sha256:1bcef9a8c021072fca40e00498e00af9091fbe6d3ae4f87567cfee885d6c7554 +size 2816988960 diff --git a/README.md b/README.md index 39fba4078ce53bdf54097c12c73fa2d62a57f008..4df978a28bf179552a500b797ca57979f7600e05 100644 --- a/README.md +++ b/README.md @@ -26,10 +26,8 @@ base_model: - Aratako/MioTTS-1.7B - Aratako/Semantic-DACVAE-Japanese-32dim - Banafo/Kroko-ASR -- ConwayResearch/Underdog-Bark-3.0 - dots-studio/dots.tts-mf - dots-studio/dots.tts-soar -- FermionResearch/Phonon-2 - fishaudio/s2-pro - FunAudioLLM/Fun-ASR-Nano-2512-hf - ai-sage/GigaAM-Multilingual @@ -58,12 +56,10 @@ base_model: - bosonai/higgs-audio-v3-stt - bosonai/higgs-audio-v3-tts-4b - k2-fsa/OmniVoice -- KittenML/kitten-tts-2 - kyutai/pocket-tts - llm-jp/llm-jp-3-150m - microsoft/VibeVoice-1.5B - microsoft/VibeVoice-ASR -- microsoft/VibeVoice-ASR-Streaming-7B - mistralai/Voxtral-Mini-4B-Realtime-2602 - mlx-community/SeedVC-MLX - mlx-community/mel-roformer-mlx @@ -81,7 +77,6 @@ base_model: - stabilityai/stable-audio-3-medium - stabilityai/stable-audio-3-small-music - stabilityai/stable-audio-3-small-sfx -- third-intelligence/Haas-ja-v1.0 --- # audio.cpp GGUF Model Packages @@ -105,49 +100,43 @@ names follow audio.cpp's [model license reference](https://github.com/0xShug0/au | Directory | audio.cpp family | GGUF provided | Original model license | |---|---|---|---| | `ACE-Step1.5-GGUF` | `ace_step` | BF16 + Q8 | MIT | -| `AST-AudioSet-GGUF` | `ast_audioset` | F32 | BSD-3-Clause | | `Apollo-GGUF` | `apollo` | original | CC-BY-SA-4.0 | | `AudioSR-GGUF` | `audiosr` | F32 | Apache-2.0 | | `BS-RoFormer-ep368-GGUF` | `bs_roformer` | Q8 | Apache-2.0 (checkpoint source undocumented) | | `Breeze-TTS-2-GGUF` | `breeze_tts` | BF16 + Q8 + Q4 | [BreezeBlue Research and Non-Commercial License](https://huggingface.co/BreezeBlue/Breeze-TTS-2/blob/main/LICENSE) | -| `CED-GGUF` | `ced` | F32 (Tiny/Mini/Small/Base) | Apache-2.0 | | `Canary-180M-Flash-GGUF` | `canary_asr` | F32 + Q8 | CC-BY-4.0 | | `Chatterbox-GGUF` | `chatterbox` | F16 + Q8 | MIT | | `Chatterbox-Turbo-GGUF` | `chatterbox_turbo` | Q8 | MIT | | `Citrinet-ASR-GGUF` | `citrinet_asr` | Q8 | CC-BY-4.0 | | `Cohere-Transcribe-GGUF` | `cohere_asr` | BF16 + Q8 + Q4_0 | Apache-2.0 | | `Confucius4-TTS-GGUF` | `confucius4_tts` | original | Apache-2.0 | -| `ControlFoley-GGUF` | `controlfoley` | F32 + Q8 | CC-BY-NC-4.0 | +| `ControlFoley-GGUF` | `controlfoley` | F32 | CC-BY-NC-4.0 | | `CosyVoice3-GGUF` | `cosyvoice3` | F32 + Q8 | Apache-2.0 | | `CrisperWhisper2.0-GGUF` | `crisperwhisper` | BF16 + Q8 + Q4_K | nyra health Non-Commercial Research License | | `DotTTS-Edit-GGUF` | `dots_tts` | BF16 + Q8 | Apache-2.0 | -| `DotTTS-MF-GGUF` | `dots_tts` | BF16 + Q8 | Apache-2.0 | -| `DotTTS-SOAR-GGUF` | `dots_tts` | BF16 + Q8 | Apache-2.0 | +| `DotTTS-MF-GGUF` | `dots_tts` | BF16 | Apache-2.0 | +| `DotTTS-SOAR-GGUF` | `dots_tts` | original + BF16 | Apache-2.0 | | `DramaBox-GGUF` | `dramabox` | Q8 | [LTX-2 Community License](https://huggingface.co/ResembleAI/Dramabox/blob/main/LICENSE) | | `FireRedAudio-GGUF` | `firered_audio` | original + Q8 | Apache-2.0 | | `FireRedTTS3-Base-GGUF` | `fireredtts3` | original + Q8 | Apache-2.0 | | `FireRedTTS3-Instruct-GGUF` | `fireredtts3` | original + Q8 | Apache-2.0 | -| `FireRedVAD-GGUF` | `firered_vad` | F32 (VAD/Stream-VAD) | Apache-2.0 | | `Fish-Audio-S2-Pro-GGUF` | `fish_audio` | BF16 + Q8 | [Fish Audio Research License](https://huggingface.co/fishaudio/s2-pro/blob/main/LICENSE.md) | | `Fun-ASR-Nano-2512-GGUF` | `fun_asr_nano` | F16 + Q8 | Apache-2.0 | | `GigaAM-ASR-GGUF` | `gigaam_asr` | F16 + F32 | MIT | | `Granite-Speech-5.0-470M-TurboCTC-GGUF` | `granite5asr` | Q8 | Apache-2.0 | -| `Haas-ja-v1.0-GGUF` | `haas_asr` | F16 + Q8 | Apache-2.0 | | `HeartMuLa-GGUF` | `heartmula` | F16 + Q8 | Apache-2.0 | | `HTDemucs-GGUF` | `htdemucs` | F16 + Q8 | MIT | | `HTDemucs-6stems-GGUF` | `htdemucs_6stems` | F16 + Q8 | MIT | | `Higgs-Audio-v3-STT-GGUF` | `higgs_audio_stt` | F16 + Q8 | Apache-2.0 | | `Higgs-Audio-v3-TTS-4B-GGUF` | `higgs_audio_tts` | BF16 + Q8 | [Boson Higgs TTS 3 Research and Non-Commercial License](https://huggingface.co/bosonai/higgs-tts-3-4b/blob/main/LICENSE) | | `Hviske-v5.3-GGUF` | `hviske_asr` | Q8 | CC-BY-NC-4.0 | -| `Hviske-v6-GGUF` | `hviske_asr_v6` | BF16 + Q8 | CC-BY-NC-4.0 | | `IndexTTS2-GGUF` | `index_tts2` | original + F16 + Q8 | [bilibili Model Use License](https://huggingface.co/IndexTeam/IndexTTS-2.5/blob/main/LICENSE) | | `IndexTTS2.5-GGUF` | `index_tts2` | original + F16 + Q8 | [bilibili Model Use License](https://huggingface.co/IndexTeam/IndexTTS-2.5/blob/main/LICENSE) | | `Inflect-Micro-v2-GGUF` | `inflect_v2` | original | Apache-2.0 | | `Irodori-TTS-500M-v3-GGUF` | `irodori_tts` | F16 + Q8 | MIT | | `Irodori-TTS-600M-v3-VoiceDesign-GGUF` | `irodori_tts` | F16 + Q8 | MIT | -| `Irodori-TTS-v4-Small-GGUF` | `irodori_tts` | F16 + Q8 (RF/MF); Q8 Anime | MIT | +| `Irodori-TTS-v4-Small-GGUF` | `irodori_tts` | F16 + Q8 | MIT | | `KittenTTS-GGUF` | `kitten_tts` | original | Apache-2.0 | -| `KittenTTS2-GGUF` | `kitten_tts2` | Q4_0 + Q8 + TQ2_1 (20261021 checkpoint) | [Stellon Labs Community License](https://huggingface.co/KittenML/kitten-tts-2/blob/main/LICENSE.md) | | `Kokoro-82M-GGUF` | `kokoro_tts` | BF16 + Q8 | Apache-2.0 | | `Kroko-ASR-GGUF` | `kroko_asr` | Q8 | CC-BY-SA | | `KugelAudio-0-Open-GGUF` | `kugelaudio` | BF16 + Q8 + Q4_K | MIT | @@ -156,30 +145,25 @@ names follow audio.cpp's [model license reference](https://github.com/0xShug0/au | `MOSS-TTS-Nano-100M-GGUF` | `moss_tts_nano` | BF16 + Q8 | Apache-2.0 | | `MOSS-Transcribe-Diarize-GGUF` | `moss_transcribe_diarize` | BF16 + Q8 + Q4_K | Apache-2.0 | | `MOSS-VoiceGenerator-GGUF` | `moss_voicegen` | BF16 + F16 codec decode | Apache-2.0 | -| `MagpieTTS-Multilingual-357M-GGUF` | `magpie_tts` | original + Q8 | [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) | +| `MagpieTTS-Multilingual-357M-GGUF` | `magpie_tts` | original | [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) | | `Maya1-GGUF` | `maya1` | original + Q8 | Apache-2.0 (Maya1); MIT (SNAC) | | `MeanVC2-GGUF` | `meanvc2` | F32 + Q4_K | Apache-2.0 | | `Mel-Band-RoFormer-GGUF` | `mel_band_roformer` | F16 + Q8 | MIT | | `MiDashengLM-Gen-GGUF` | `midashenglm_gen` | F32 + Q8 | Apache-2.0 | -| `MicroWakeWord-GGUF` | `micro_wake_word` | F32 | Apache-2.0 | | `MiniMax-H3-Q4-GGUF` | `minimax_h3` | Q4_K + INT8 DiT option | [MiniMax H3 Community License](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE) | | `MioCodec-25Hz-44.1kHz-v2-GGUF` | `miocodec` | original + F16 + Q8 | MIT | | `MioTTS-1.7B-GGUF` | `miotts` | original + BF16 + Q8 | Apache-2.0 | | `Moonshine-Streaming-GGUF` | `moonshine_asr` | Q8 | MIT | -| `MossFormer2-GGUF` | `mossformer2` | F32 + F16 | Apache-2.0 | | `MuScriptor-Small-GGUF` | `muscriptor` | F32 | CC-BY-NC-4.0 | | `Nemotron-3.5-ASR-Streaming-0.6B-GGUF` | `nemotron_asr` | F16 + Q8 | [OpenMDW-1.1](https://openmdw.ai/license/1-1/) | | `NeuTTS-2E-GGUF` | `neutts` | original | [NeuTTS Open License v1.0](https://huggingface.co/neuphonic/neutts-2e/blob/main/LICENSE) | | `Niagara-ASR-GGUF` | `niagara_asr` | F32 | [Applied Brain Research Open License v1.1](https://www.appliedbrainresearch.com/license) | -| `OWSM-GGUF` | `owsm` | F32 + Q8 (Base/Small/Medium); Q4_K (Small/Medium) | CC-BY-4.0 | +| `OWSM-GGUF` | `owsm` | F32 + Q8 + Q4_K (Small/Medium) | CC-BY-4.0 | | `OWSM-CTC-GGUF` | `owsm_ctc` | F32 + Q8 | CC-BY-4.0 | | `OmniVoice-GGUF` | `omnivoice` | BF16 + F16 + Q8 | [CC-BY-NC](https://huggingface.co/k2-fsa/OmniVoice#license) | -| `OpenWakeWord-GGUF` | `open_wake_word` | F32 | CC-BY-NC-SA-4.0 | | `Parakeet-TDT-0.6B-v3-GGUF` | `parakeet_tdt` | F16 + Q8 | CC-BY-4.0 | | `PersonaPlex-GGUF` | `personaplex` | Q4_K + Q8 | [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) | -| `Phonon-2-GGUF` | `phonon2_asr` | mixed F16 + mixed Q8 | CC-BY-4.0 | | `Piper-TTS-GGUF` | `piper_tts` | original | MIT | -| `Plapre-3-GGUF` | `plapre` | F32 + BF16 | CC-BY-4.0 | | `PocketTTS-GGUF` | `pocket_tts` | BF16 + Q8 | CC-BY-4.0 | | `PulseVAD-GGUF` | `pulsevad` | F32 | MIT | | `Qwen3-ASR-0.6B-GGUF` | `qwen3_asr` | F16 + Q8 | Apache-2.0 | @@ -192,7 +176,6 @@ names follow audio.cpp's [model license reference](https://github.com/0xShug0/au | `RVC-GGUF` | `rvc` | F16 | MIT | | `Samsone-GGUF` | `samsone` | BF16 + Q8 | Not stated | | `SeedVC-MLX-GGUF` | `seed_vc` | original + F16 + Q8 | GPL-3.0 | -| `Sherpa-KWS-GGUF` | `sherpa_kws` | F32 | Apache-2.0 | | `Sidon-GGUF` | `sidon` | F32 | MIT | | `Smart-Turn-v3-GGUF` | `smart_turn` | F32 | BSD-2-Clause | | `Sortformer-Diar-4spk-v1-GGUF` | `sortformer_diar` | F16 + Q8 | CC-BY-NC-4.0 | @@ -200,19 +183,14 @@ names follow audio.cpp's [model license reference](https://github.com/0xShug0/au | `Stable-Audio-3-Small-Music-GGUF` | `stable_audio` | F16 + Q8 | [Stability AI Community License](https://huggingface.co/stabilityai/stable-audio-3-small-sfx/blob/main/LICENSE.md) | | `Stable-Audio-3-Small-SFX-GGUF` | `stable_audio` | F16 + Q8 | [Stability AI Community License](https://huggingface.co/stabilityai/stable-audio-3-small-sfx/blob/main/LICENSE.md) | | `Supertonic-3-GGUF` | `supertonic` | original + F16 + Q8 | [BigScience OpenRAIL-M](https://huggingface.co/Supertone/supertonic-3/blob/main/LICENSE) | -| `TF-GridNet-GGUF` | `tf_gridnet` | F32 | Not stated | | `Tone-Color-VC-GGUF` | `tone_color_vc` | F32 + F16 | MIT | -| `Underdog-Bark-3.0-GGUF` | `underdog_bark3` | mixed F16 (Standard) | CC-BY-4.0 | | `UniverSR-GGUF` | `universr` | original | CC-BY-4.0 | | `Vevo2-GGUF` | `vevo2` | original + F16 + Q8 | CC-BY-NC-ND-4.0 | | `VibeVoice-1.5B-GGUF` | `vibevoice` | BF16 + Q8 + Q4 | MIT | | `VibeVoice-ASR-GGUF` | `vibevoice_asr` | F16 + Q8 | MIT | -| `VibeVoice-ASR-Streaming-7B-GGUF` | `vibevoice_asr_streaming` | BF16 + Q8 + Q4_K | MIT | | `VoxCPM1-GGUF` | `voxcpm1` | Q8 + F16 AudioVAE | Apache-2.0 | -| `VoxCPM2-GGUF` | `voxcpm2` | original + BF16 + Q8; VocalRender-Pro finetune (original) | Apache-2.0 | -| `Voxtral-4B-TTS-2603-GGUF` | `voxtral_tts` | BF16 + Q8 | CC-BY-NC-4.0 | +| `VoxCPM2-GGUF` | `voxcpm2` | original + BF16 + Q8 | Apache-2.0 | | `Voxtral-Mini-4B-Realtime-2602-GGUF` | `voxtral_realtime` | BF16 + Q8 + Q4_K | Apache-2.0 | -| `Whistle-GGUF` | `whistle_asr` | F32 | Apache-2.0 | ## Usage diff --git a/RVC-GGUF/rvc-f16.gguf b/RVC-GGUF/rvc-f16.gguf index dc152d4daa258916a8c5d4646c0b6d890e29e749..5f5994f2ad357f82136e98e4b36c1f6bdc723a5c 100644 --- a/RVC-GGUF/rvc-f16.gguf +++ b/RVC-GGUF/rvc-f16.gguf @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:09bd8f233e7ae82697826513c94d754c3904e58e30ad503b83437defccf99a72 -size 1260187648 +oid sha256:5ddfc32ab63199bcca4bcd95a007a8add35ccff7e2c20e1272f19b9617410b57 +size 1260188416 diff --git a/SeedVC-MLX-GGUF/seed-vc-mlx-f16.gguf b/SeedVC-MLX-GGUF/seed-vc-mlx-f16.gguf index de46fbd43d6df0c62bd458eb38b8ca0f4cab1fb3..8afc0d4dfc44c633359e4e25c268e1c94973e2fb 100644 --- a/SeedVC-MLX-GGUF/seed-vc-mlx-f16.gguf +++ b/SeedVC-MLX-GGUF/seed-vc-mlx-f16.gguf @@ -1,3 +1,3 @@ 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sha256:01210319c5ce617613c9d1c38e34649f7479e98a60d51b719f7df82970658241 +size 847888032 diff --git a/VoxCPM2-GGUF/finetune/convert_vocalrender.py b/VoxCPM2-GGUF/finetune/convert_vocalrender.py deleted file mode 100644 index 46ff44dd906dff33d7a3a34dac9f6730de1939c8..0000000000000000000000000000000000000000 --- a/VoxCPM2-GGUF/finetune/convert_vocalrender.py +++ /dev/null @@ -1,96 +0,0 @@ -#!/usr/bin/env python3 -"""Convert a VocalRender checkpoint into a standalone VoxCPM2 GGUF. - -Requires torch, safetensors, and an audiocpp_gguf executable built with VoxCPM2. -Example: - python convert_vocalrender.py --input ./VocalRender-Pro \ - --output ./vocalrender-pro-orig.gguf --converter ./audiocpp_gguf -""" - -import argparse -import json -import os -from pathlib import Path -import shutil -import subprocess -import tempfile - -import torch -from safetensors import safe_open -from safetensors.torch import save_file - - -def main(): - parser = argparse.ArgumentParser(description=__doc__) - parser.add_argument("--input", type=Path, required=True, help="Source checkpoint directory.") - parser.add_argument("--output", type=Path, required=True, help="Output orig-precision GGUF.") - parser.add_argument("--converter", default="audiocpp_gguf", help="Converter executable path or PATH command.") - parser.add_argument("--model-spec", type=Path, help="Optional voxcpm2 spec; otherwise use the converter catalog.") - parser.add_argument("--overwrite", action="store_true") - args = parser.parse_args() - source = args.input.expanduser().resolve(strict=True) - output = args.output.expanduser().resolve() - converter = shutil.which(os.path.expanduser(args.converter)) - if converter is None: - parser.error("Converter not found; provide --converter or add audiocpp_gguf to PATH.") - if output.exists() and not args.overwrite: - parser.error("Output already exists; use --overwrite to replace it.") - weights = source / "model.safetensors" - with safe_open(weights, framework="pt", device="cpu") as tensors: - shape = tensors.get_slice("base_lm.embed_tokens.weight").get_shape() - config = json.loads((source / "config.json").read_text(encoding="utf-8")) - tokenizer = json.loads((source / "tokenizer.json").read_text(encoding="utf-8")) - token_config = json.loads((source / "tokenizer_config.json").read_text(encoding="utf-8")) - ids = [*tokenizer["model"]["vocab"].values(), *[t["id"] for t in tokenizer["added_tokens"]]] - if len(shape) != 2 or shape[1] != config["lm_config"]["hidden_size"]: - raise ValueError("Embedding shape does not match the model configuration.") - if min(ids) < 0 or max(ids) >= shape[0]: - raise ValueError("Tokenizer IDs exceed the checkpoint embedding capacity.") - config["lm_config"]["vocab_size"] = shape[0] - tokenizer["model"]["merges"] = [ - " ".join(merge) if isinstance(merge, list) else merge - for merge in tokenizer["model"]["merges"] - ] - token_config["added_tokens_decoder"] = { - str(t["id"]): {key: value for key, value in t.items() if key != "id"} - for t in tokenizer["added_tokens"] - } - special = {key: token_config[key] for key in ("bos_token", "eos_token", "unk_token")} - output.parent.mkdir(parents=True, exist_ok=True) - with tempfile.TemporaryDirectory(prefix="vocalrender-convert-", dir=output.parent) as temporary: - root = Path(temporary) / source.name - root.mkdir() - for name, data in (("config.json", config), ("tokenizer.json", tokenizer), - ("tokenizer_config.json", token_config), ("special_tokens_map.json", special)): - (root / name).write_text(json.dumps(data, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") - checkpoint = torch.load(source / "audiovae.pth", map_location="cpu", weights_only=True) - state = checkpoint.get("state_dict", checkpoint) - tensors = {} - for name, tensor in state.items(): - if not isinstance(name, str) or not isinstance(tensor, torch.Tensor): - raise ValueError("AudioVAE state_dict must contain named tensors only.") - tensors[name] = tensor.detach().cpu().contiguous() - if not tensors: - raise ValueError("AudioVAE checkpoint contains no tensors.") - vae = root / "audiovae.safetensors" - save_file(tensors, vae) - with safe_open(vae, framework="pt", device="cpu") as saved: - if set(saved.keys()) != set(tensors): - raise ValueError("AudioVAE tensor names changed during conversion.") - for name, expected in tensors.items(): - actual = saved.get_tensor(name) - if actual.dtype != expected.dtype or actual.shape != expected.shape or not torch.equal(actual, expected): - raise ValueError(f"AudioVAE tensor changed during conversion: {name}") - command = [str(Path(converter).resolve()), "--family", "voxcpm2", "--type", "orig", - "--input", f"weights={weights}", "--input", f"audiovae_weights={vae}", - "--root", str(root), "--output", str(output), "--log"] - if args.model_spec: - command.extend(["--model-spec", str(args.model_spec.expanduser().resolve(strict=True))]) - if args.overwrite: - command.append("--overwrite") - subprocess.run(command, check=True) - print(f"Converted: {output}") - - -if __name__ == "__main__": - main() diff --git a/VoxCPM2-GGUF/finetune/vocalrender-pro-orig.gguf b/VoxCPM2-GGUF/finetune/vocalrender-pro-orig.gguf deleted file mode 100644 index c0ae431570758be643c781ba39de99f39a8c7b7e..0000000000000000000000000000000000000000 --- a/VoxCPM2-GGUF/finetune/vocalrender-pro-orig.gguf +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1c9148d67d3df67a0b04a8dbf9201d61bb7cac346bbfc9650b42f9d387a3df05 -size 9544158368 diff --git a/VoxCPM2-GGUF/voxcpm2-bf16.gguf b/VoxCPM2-GGUF/voxcpm2-bf16.gguf index c78e11bd9a2c1edd3244ca51693ff5a15e52b5ce..117ad0ebcb672af6fd4b33f0012e6fc25680290e 100644 --- a/VoxCPM2-GGUF/voxcpm2-bf16.gguf +++ b/VoxCPM2-GGUF/voxcpm2-bf16.gguf @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:dc48028ebf08b9fd2456cbf5fa1ab52568d16660e34d0fa418c35e251ca1ecab -size 4772295296 +oid sha256:0c0cd2515c7a1145c0ddba06c871724656c36cb53ee3b0118116b34cb4153699 +size 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