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dasllama-tts
borisbat / dasllama-tts
Model's Last Updated: September 10 2026
text-to-speech
Introduction of dasllama-tts
Model Details of dasllama-tts
dasLLAMA text-to-speech models
The three speech models dasLLAMA serves, converted to GGUF, and the two front-end packs every
one of them loads. dasLLAMA is the daslang inference engine
(
https://github.com/GaijinEntertainment/daScript
,
modules/dasLLAMA
); the models are the
StyleTTS2 lineage - KittenTTS nano and mini, Kokoro-82M - behind one facade and one das-native
text front end (a normalizer, a part-of-speech tagger, a grapheme-to-phoneme pass). No espeak-ng,
no phonemizer: the front end is data, and the data is in the two packs.
Files
| file | what | bytes | sha256 |
|---|---|---|---|
kitten-nano.gguf
|
KittenTTS nano 0.8, f32 | 59331456 |
4556948c36a29e4be5ad521e597a20ae817059c404fea3c5d935afa73506d9da
|
kitten-mini.gguf
|
KittenTTS mini 0.8, f32 | 295975008 |
e127a95c6ffa390eccc5956e7156ff055e9f30078cf16361cbcd0eea6c21fdb5
|
kokoro-82m.gguf
|
Kokoro-82M v1.0 with its 54 voice packs, f32 | 352965024 |
e0d6584b5b650730bd62e7b105a2e9502384bbe3fbebf3030113560355e6232f
|
tts_g2p.bin
|
the grapheme-to-phoneme pack: misaki's gold and silver lexicons in both English dialects (one merged table per tier), CMUdict 0.7a rendered into the American inventory, the g2p_en GRU spelling model | 14011554 |
d7b6afea7a0901a877d10531054d3f967845c58f415f0ea937decd8a3081ccd5
|
tts_postag.bin
|
the tokenizer exception table and the averaged-perceptron PTB tagger | 12566510 |
38c2e85f7fef3e57d561d2aa0af25fccda4276376ba1993c3dbc2ae0ebfa57b4
|
The two packs sit beside whichever GGUF you load; the loader reads them from the model's directory. The GGUFs carry f32 weights: dasLLAMA quantizes the served layouts to Q8_0 at first load and keeps the result beside the file as a prepared image, so the f32 file is also the reference lane.
Use
dasllama-server --tts kitten-nano.gguf # POST /v1/audio/speech, the OpenAI shape
daslang utils/dasllama-server/txt2wav.das -- --tts kitten-nano.gguf --voice expr-voice-2-f --text "Hello." --out hello.wav
Kitten nano is the served default: 59 MB, eight voices, a real-time factor of 0.03 on an Apple
M1 Max (the measured rows are the module's
PERF_LEDGER.md
). Its voices are
expr-voice-2-m
through
expr-voice-5-f
, and the upstream's alias names
(
Bella
,
Jasper
, ...) are accepted for them. Kokoro ships 54 packs, of which the front end
drives the 28 English ones: the 20 American (
af_*
,
am_*
-
af_heart
,
am_adam
, ...) and
the 8 British (
bf_*
,
bm_*
-
bf_emma
,
bm_george
, ...), each phonemized in its own
dialect. The other 26 packs speak languages the front end does not phonemize yet, so they are
not listed and are refused. Some Kokoro packs, the British ones most audibly, render a comma or
a full stop as a breath; the reference pipeline does the same, so it is the pack, not the
engine. Every model speaks at 24 kHz.
GET /v1/stats
on the server lists the served model's
voices.
Provenance
-
kitten-nano.gguf/kitten-mini.gguf: converted bymodules/dasLLAMA/harness/convert_kitten.pyfromKittenML/kitten-tts-nano-0.8at7a1db645b1f3ab9420761d87428e042b9cec3f26andKittenML/kitten-tts-mini-0.8atc02725660cea441db4c383af69f1f26f5cd00947(the ONNX weights, the voice table, the config). -
kokoro-82m.gguf: converted bymodules/dasLLAMA/harness/convert_kokoro.pyfromhexgrad/Kokoro-82Matf3ff3571791e39611d31c381e3a41a3af07b4987(kokoro-v1_0.pthand the voice packs). -
tts_g2p.bin:modules/dasLLAMA/harness/build_g2p_data.pyover misaki 0.9.4 (us_gold.json,us_silver.json,gb_gold.json,gb_silver.json), CMUdict 0.7a (the NLTK distribution) and g2p_en 2.1.0 (checkpoint20.npz), plusharness/g2p_local_additions.json. -
tts_postag.bin:modules/dasLLAMA/harness/train_postag.pyover UD English-EWT and Project Gutenberg prose tagged by spaCy'sen_core_web_sm; the tokenizer exception table is spaCy's.
The whole set is rebuilt by
modules/dasLLAMA/performance/build_tts_data.das
. Parity against
the reference implementations (block by block, and the front end sentence by sentence on a
200-sentence corpus) is the test suite under
modules/dasLLAMA/tests/test_tts_*.das
.
Licences, per file
| file | licence | terms |
|---|---|---|
kitten-nano.gguf
,
kitten-mini.gguf
|
Apache-2.0 |
KittenML's weights, converted;
LICENSE.APACHE-2.0
|
kokoro-82m.gguf
|
Apache-2.0 |
hexgrad's weights and voices, converted; the architecture is StyleTTS2 (MIT,
LICENSE.STYLETTS2
)
|
tts_g2p.bin
|
Apache-2.0 and BSD-2-Clause |
misaki and g2p_en (Apache-2.0), CMUdict (
LICENSE.CMUDICT
, Carnegie Mellon University)
|
tts_postag.bin
|
CC BY-SA 4.0 |
the tagger weights are trained on UD English-EWT (
LICENSE.UD_EWT
); the exception table and the silver tags come from spaCy (MIT,
LICENSE.SPACY
); Gutenberg prose is public domain
|
Each
.LICENSE
sidecar beside a file names its sources; the full texts are in this repository.
The engine that reads these files is under the daslang licence in its own repository.
Runs of borisbat dasllama-tts on huggingface.co
408
Total runs
1
24-hour runs
30
3-day runs
339
7-day runs
408
30-day runs
More Information About dasllama-tts huggingface.co Model
More dasllama-tts license Visit here:
https://choosealicense.com/licenses/per-filedasllama-tts huggingface.co
dasllama-tts huggingface.co is an AI model on huggingface.co that provides dasllama-tts's model effect (), which can be used instantly with this borisbat dasllama-tts model. huggingface.co supports a free trial of the dasllama-tts model, and also provides paid use of the dasllama-tts. Support call dasllama-tts model through api, including Node.js, Python, http.
dasllama-tts huggingface.co Url
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dasllama-tts huggingface.co is an online trial and call api platform, which integrates dasllama-tts's modeling effects, including api services, and provides a free online trial of dasllama-tts, you can try dasllama-tts online for free by clicking the link below.
borisbat dasllama-tts online free url in huggingface.co:
https://huggingface.co/borisbat/dasllama-ttsdasllama-tts install
dasllama-tts is an open source model from GitHub that offers a free installation service, and any user can find dasllama-tts on GitHub to install. At the same time, huggingface.co provides the effect of dasllama-tts install, users can directly use dasllama-tts installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
dasllama-tts install url in huggingface.co:
https://huggingface.co/borisbat/dasllama-ttsUrl of dasllama-tts
dasllama-tts huggingface.co Url
Provider of dasllama-tts huggingface.co
Other API from borisbat
Updated:September 10 2026
Credits Limited