Gepard-1.0 (RLX staging)
Gepard TTS + NanoCodec decoder weights for RLX.
| Field | Value |
|---|---|
| Hub id | eugenehp/gepard |
| Kind | Staging redistrib of an upstream checkpoint for RLX runners. |
| RLX crate | rlx-gepard |
| Upstream | https://huggingface.co/nineninesix/gepard-1.0 |
Quick start
hf download eugenehp/gepard --local-dir .
cargo run -p rlx-gepard --release -- --weights . --text "Hello." --out out.wav
File highlights
gepard.f16.gguf(1.4 GiB)model.safetensors(1.0 GiB)nano_dec.safetensors(400.4 MiB)weights.safetensors(169.1 MiB)nano_dec_1.89kbps.safetensors(120.4 MiB)tokenizer.json(19.1 MiB)gepard_config.json(4.3 KiB)tokenizer_config.json(1.1 KiB)
Do not use as the main runtime pack
These files may be present for historical / staging reasons but are not the supported RLX load path:
gepard.f16.gguf
Community *.f16.gguf / LM-only Q4 packs are format wraps โ they are not drop-in replacements for the RLX primary file above.
Run with RLX
Clone rlx-models, place this repo under weights/tts/gepard (or pass the path explicitly), then:
cargo run -p rlx-gepard --release -- --weights . --text "Hello." --out out.wav
License
Apache License 2.0 โ see LICENSE. Inherit upstream terms when redistributing.
Original weights and authorship: https://huggingface.co/nineninesix/gepard-1.0
Redistrib note
This Hub repo exists so RLX recipes have a stable fetch target. When you only need the upstream checkpoint, prefer the Upstream link above.
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