HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

orpheus-tts-mos-GGUF

mradermacher/orpheus-tts-mos-GGUF

kind
gguf
quant
gguf (4-bit)
family
misc
modality
text-to-speech
root model
Minervus00/orpheus-tts-mos
provider
mradermacher
license
apache-2.0
language
mos
context
—
library
transformers
vRAM (GB)
—
size on disk
—
downloads
147
likes
0
created
—
last modified
2025-08-26T22:49:38+00:00 (2025)
huggingface
https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF
tags
transformersgguftext-to-speechunslothllamamosbase_model:Minervus00/orpheus-tts-mosbase_model:quantized:Minervus00/orpheus-tts-moslicense:apache-2.0endpoints_compatibleregion:usconversational

Benchmark scores (12)

benchmarkcategoryscorecontextconfevidence
MOSspeech-tts6.7[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.f16.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.f16.gguf) | f16 | 6.7 | 16 bpw, overkill |
MOSspeech-tts3.6[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q8_0.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q8_0.gguf) | Q8_0 | 3.6 | fast, best quality |
MOSspeech-tts2.8[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q6_K.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q6_K.gguf) | Q6_K | 2.8 | very good quality |
MOSspeech-tts2.5[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q5_K_M.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
MOSspeech-tts2.4[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q5_K_S.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
MOSspeech-tts2.2[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q4_K_M.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |
MOSspeech-tts2.1[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q4_K_S.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |
MOSspeech-tts2.0[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q3_K_L.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q3_K_L.gguf) | Q3_K_L | 2.0 | |
MOSspeech-tts2.0[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.IQ4_XS.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.IQ4_XS.gguf) | IQ4_XS | 2.0 | |
MOSspeech-tts1.9[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q3_K_M.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q3_K_M.gguf) | Q3_K_M | 1.9 | lower quality |
MOSspeech-tts1.7[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q3_K_S.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q3_K_S.gguf) | Q3_K_S | 1.7 | |
MOSspeech-tts1.5[GGUF](https://huggingface.co/mradermacher/orpheus-tts--GGUF/resolve/main/orpheus-tts-.Q2_K.gguf)medium| [GGUF](https://huggingface.co/mradermacher/orpheus-tts-mos-GGUF/resolve/main/orpheus-tts-mos.Q2_K.gguf) | Q2_K | 1.5 | |

Discussions (0)

none scraped.

Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.