Darwin Tts 1.7b Cross GGUF
GGUF conversion of FINAL-Bench/Darwin-TTS-1.7B-Cross for CrispASR.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 1,03–3,60 GB
- Modelo base
- FINAL-Bench/Darwin-TTS-1.7B-Cross
- Versión
- vRevision cbde698
- Actualizado
- 26 oct 2026
- Descargas
- 103
- Fuente
- Hugging Face
Descripción de la fuente
Darwin-TTS-1.7B-Cross — GGUF
GGUF conversion of FINAL-Bench/Darwin-TTS-1.7B-Cross for CrispASR.
Training-free TTS improvement: 3% of a Qwen3-1.7B general LLM's FFN weights are linearly interpolated into the Qwen3-TTS-1.7B backbone, adding emotional expressiveness without any fine-tuning. Runs on the qwen3-tts backend.
Architecture
- Base: Qwen3-TTS-1.7B pipeline (talker + code predictor + speech tokenizer + codec)
- Talker (modified): 28-layer Qwen3 LM (2048-dim, 6144 FFN, 16Q/8KV heads) — 84 FFN tensors blended at alpha=3% with Qwen3-1.7B LLM weights
- Code predictor: 5-layer auxiliary net (1024-dim)
- Speech tokenizer: 12 Hz RVQ codec
- Languages: Korean, English, Japanese, Chinese + 6 more
Files
| File | Size | Description |
|---|---|---|
darwin-tts-1.7b-cross-q4_k.gguf | 1.1 GB | Q4_K quantized (recommended) |
darwin-tts-1.7b-cross-q8_0.gguf | 2.0 GB | Q8_0 quantized |
darwin-tts-1.7b-cross-f16.gguf | 3.7 GB | F16 full precision |
Usage
crispasr --backend qwen3-tts \
-m darwin-tts-1.7b-cross-q4_k.gguf \
--tts "Hello, world." --tts-output out.wav
License
Apache 2.0 (inherited from Qwen3-TTS and Qwen3-1.7B).
Credits
- Original model: FINAL-Bench
- GGUF conversion & runtime: CrispASR
Provenance and EU AI Act Art. 53 note
- Upstream model: FINAL-Bench/Darwin-TTS-1.7B-Cross — published by
FINAL-Bench. - Upstream licence:
apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
- Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here.
- Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 26 oct
Download files
Artefactos del modelo
3 artefactos
Artefactos del modelo
3 artefactosdarwin-tts-1.7b-cross-f16.gguf
gguf · 3,60 GB · SHA-256 91c021788e18…ce08 · Hugging Face
Download filedarwin-tts-1.7b-cross-q4_k.gguf
gguf · 1,03 GB · SHA-256 80dc159338fa…dc8f · Hugging Face
Download filedarwin-tts-1.7b-cross-q8_0.gguf
gguf · 1,92 GB · SHA-256 688741f19d64…2c49 · Hugging Face
Download fileExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- language: - en - zh - ja - ko license: apache-2.0 tags: - gguf - tts - text-to-speech - qwen3-tts - darwin - crispasr base_model: FINAL-Bench/Darwin-TTS-1.7B-Cross pipeline_tag: text-to-speech --- # Darwin-TTS-1.7B-Cross — GGUF GGUF conversion of [FINAL-Bench/Darwin-TTS-1.7B-Cross](https://huggingface.co/FINAL-Bench/Darwin-TTS-1.7B-Cross) for [CrispASR](https://github.com/CrispStrobe/CrispASR). Training-free TTS improvement: 3% of a Qwen3-1.7B general LLM's FFN weights are linearly interpolated into the Qwen3-TTS-1.7B backbone, adding emotional expressiveness without any fine-tuning. Runs on the `qwen3-tts` backend. ## Architecture - **Base**: Qwen3-TTS-1.7B pipeline (talker + code predictor + speech tokenizer + codec) - **Talker** (modified): 28-layer Qwen3 LM (2048-dim, 6144 FFN, 16Q/8KV heads) — 84 FFN tensors blended at alpha=3% with Qwen3-1.7B LLM weights - **Code predictor**: 5-layer auxiliary net (1024-dim) - **Speech tokenizer**: 12 Hz RVQ codec - **Languages**: Korean, English, Japanese, Chinese + 6 more ## Files | File | Size | Description | |------|------|-------------| | `darwin-tts-1.7b-cross-q4_k.gguf` | 1.1 GB | Q4_K quantized (recommended) | | `darwin-tts-1.7b-cross-q8_0.gguf` | 2.0 GB | Q8_0 quantized | | `darwin-tts-1.7b-cross-f16.gguf` | 3.7 GB | F16 full precision | ## Usage ```bash crispasr --backend qwen3-tts \ -m darwin-tts-1.7b-cross-q4_k.gguf \ --tts "Hello, world." --tts-output out.wav ``` ## License Apache 2.0 (inherited from Qwen3-TTS and Qwen3-1.7B). ## Credits - Original model: [FINAL-Bench](https://huggingface.co/FINAL-Bench/Darwin-TTS-1.7B-Cross) - GGUF conversion & runtime: [CrispASR](https://github.com/CrispStrobe/CrispASR) ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [FINAL-Bench/Darwin-TTS-1.7B-Cross](https://huggingface.co/FINAL-Bench/Darwin-TTS-1.7B-Cross) — published by `FINAL-Bench`. - **Upstream licence:** `apache-2.0`. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - **What was done here:** format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs. - **Training data:** documented — where it is documented at all — by the upstream provider; see the...
Source context: 103 downloads · 6 likes · Pipeline text-to-speech · Repo cstr/darwin-tts-1.7b-cross-GGUF
Source context: 462 downloads · 4 likes · Pipeline text-to-speech · Repo cstr/darwin-tts-1.7b-cross-GGUF
