Ghana Tts 36k GGUF
GGUF conversions of ghananlpcommunity/ghana-tts-36k for use with bluryar/VoxCPM.cpp.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 477 MB–2,71 GB
- Modelo base
- ghananlpcommunity/ghana-tts-36k
- Versão
- vRevision 8a1b9b2
- Atualizado
- 3 de nov. de 2026
- Downloads
- 83
- Fonte
- Hugging Face
Descrição da fonte
ghana-tts-36k — GGUF quantized variants
GGUF conversions of ghananlpcommunity/ghana-tts-36k
for use with bluryar/VoxCPM.cpp.
The .gguf files are backend-agnostic — the same file runs on both a CPU-only
and a CUDA build of the inference engine. Only the binary you compile differs
between CPU and GPU deployment, not the weight file.
Files
| File | Quant | AudioVAE | Size | Notes |
|---|---|---|---|---|
ghana-tts-36k-f32.gguf | F32 | original | largest | Reference/max-accuracy baseline |
ghana-tts-36k-f16.gguf | F16 | mixed | ||
ghana-tts-36k-f16-audiovae-f16.gguf | F16 | f16 | ||
ghana-tts-36k-q8_0.gguf | Q8_0 | mixed | Recommended for CPU | |
ghana-tts-36k-q8_0-audiovae-f16.gguf | Q8_0 | f16 | Recommended for GPU (CUDA) | |
ghana-tts-36k-q4_k.gguf | Q4_K | mixed | Smallest, more accuracy loss | |
ghana-tts-36k-q4_k-audiovae-f16.gguf | Q4_K | f16 | smallest of the practical options | Fastest CPU model-only RTF; good compact CUDA option too |
Which one to use
Based on bluryar/VoxCPM.cpp's own published
benchmarks on the same "voxcpm" architecture family (not run on this exact
checkpoint — validate on your own audio before committing to one in production):
CPU inference:
- Default pick:
ghana-tts-36k-q8_0.gguf— best full-pipeline RTF at this model scale on CPU. - Smaller/faster, slight accuracy trade-off:
ghana-tts-36k-q4_k-audiovae-f16.gguf.
GPU (CUDA) inference:
- Default pick:
ghana-tts-36k-q8_0-audiovae-f16.gguf— best full-pipeline RTF at this model scale on CUDA. - Smallest CUDA-friendly option:
ghana-tts-36k-q4_k-audiovae-f16.gguf.
Inference
This repo includes two scripts that build and run VoxCPM.cpp against these weights:
infer_cpu.sh— builds a CPU-onlyvoxcpm_ttsand runs it againstghana-tts-36k-q8_0.gguf.infer_gpu.sh— builds a CUDA-enabledvoxcpm_tts(requires an NVIDIA GPU + CUDA toolkit) and runs it againstghana-tts-36k-q8_0-audiovae-f16.gguf.
Usage (either script):
bash infer_cpu.sh "Text to synthesize" prompt.wav "Exact transcript of prompt.wav" out.wav
bash infer_gpu.sh "Text to synthesize" prompt.wav "Exact transcript of prompt.wav" out.wav
Swap in a different .gguf from this repo by editing the MODEL_PATH variable
at the top of either script.
Fontes
1 fonte
Fontes
1 fonteVerificado 3 de nov.
Download files
Repository files
File inventory only; completeness is unverified.
Artefatos de modelo
7 artefatos
Artefatos de modelo
7 artefatosghana-tts-36k-f16-audiovae-f16.gguf
gguf · 1,36 GB · SHA-256 4718cb4d6e96…a16d · Hugging Face
Download fileghana-tts-36k-q4_k-audiovae-f16.gguf
gguf · Q4_K (unverified) · 545 MB · SHA-256 9d7227bee9a1…f6b7 · Hugging Face
Download fileghana-tts-36k-q4_k.gguf
gguf · Q4_K (unverified) · 477 MB · SHA-256 2cc677f558f2…bcd0 · Hugging Face
Download fileghana-tts-36k-q8_0-audiovae-f16.gguf
gguf · Q8_0 (unverified) · 811 MB · SHA-256 552b37352bf2…02cf · Hugging Face
Download fileghana-tts-36k-q8_0.gguf
gguf · Q8_0 (unverified) · 766 MB · SHA-256 3668d62ab177…5617 · Hugging Face
Download fileTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- license: mit tags: - text-to-speech - voxcpm - gguf - ghana-tts base_model: ghananlpcommunity/ghana-tts-36k --- # ghana-tts-36k — GGUF quantized variants GGUF conversions of [`ghananlpcommunity/ghana-tts-36k`](https://huggingface.co/ghananlpcommunity/ghana-tts-36k) for use with [bluryar/VoxCPM.cpp](https://github.com/bluryar/VoxCPM.cpp). **The `.gguf` files are backend-agnostic** — the same file runs on both a CPU-only and a CUDA build of the inference engine. Only the *binary* you compile differs between CPU and GPU deployment, not the weight file. ## Files | File | Quant | AudioVAE | Size | Notes | |---|---|---|---|---| | `ghana-tts-36k-f32.gguf` | F32 | original | largest | Reference/max-accuracy baseline | | `ghana-tts-36k-f16.gguf` | F16 | mixed | | | | `ghana-tts-36k-f16-audiovae-f16.gguf` | F16 | f16 | | | | `ghana-tts-36k-q8_0.gguf` | Q8_0 | mixed | | **Recommended for CPU** | | `ghana-tts-36k-q8_0-audiovae-f16.gguf` | Q8_0 | f16 | | **Recommended for GPU (CUDA)** | | `ghana-tts-36k-q4_k.gguf` | Q4_K | mixed | | Smallest, more accuracy loss | | `ghana-tts-36k-q4_k-audiovae-f16.gguf` | Q4_K | f16 | smallest of the practical options | Fastest CPU model-only RTF; good compact CUDA option too | ## Which one to use Based on [bluryar/VoxCPM.cpp](https://github.com/bluryar/VoxCPM.cpp)'s own published benchmarks on the same `"voxcpm"` architecture family (not run on this exact checkpoint — validate on your own audio before committing to one in production): **CPU inference:** - Default pick: **`ghana-tts-36k-q8_0.gguf`** — best full-pipeline RTF at this model scale on CPU. - Smaller/faster, slight accuracy trade-off: `ghana-tts-36k-q4_k-audiovae-f16.gguf`. **GPU (CUDA) inference:** - Default pick: **`ghana-tts-36k-q8_0-audiovae-f16.gguf`** — best full-pipeline RTF at this model scale on CUDA. - Smallest CUDA-friendly option: `ghana-tts-36k-q4_k-audiovae-f16.gguf`. ## Inference This repo includes two scripts that build and run [VoxCPM.cpp](https://github.com/bluryar/VoxCPM.cpp) against these weights: - `infer_cpu.sh` — builds a CPU-only `voxcpm_tts` and runs it against `ghana-tts-36k-q8_0.gguf`. - `infer_gpu.sh` — builds a CUDA-enabled `voxcpm_tts` (requires an NVIDIA GPU + CUDA toolkit) and runs it against `ghana-tts-36k-q8_0-audiovae-f16.gguf`. Usage (either script): ```bash bash infer_cpu.sh "Text to synthesize" prompt.wav "Exact tr...
Source context: 83 downloads · 0 likes · Pipeline text-to-speech · Library voxcpm · Repo walusungungulube/ghana-tts-36k-gguf
Source context: 109 downloads · 0 likes · Pipeline text-to-speech · Library voxcpm · Repo walusungungulube/ghana-tts-36k-gguf
