dbrains/Qwen3-TTS-12Hz-1.7B-VoiceDesign-Q4_K_M-GGUF
Qwen3-TTS-12Hz-1.7B-VoiceDesign-Q4KM-GGUF
Q4KM quant of `Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign`. ~1.1 GB, vs ~2.4 GB for the existing Q8_0 GGUF.
Same tensor layout as the F16 / Q8_0 files in `khimaros/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF`.
File
Qwen3-TTS-12Hz-1.7B-VoiceDesign-Q4_K_M.gguf— Q4KM, 1.07 GB
Compatibility
A GGUF is a file format, not a runtime. This file targets qwen3-tts.cpp — either `khimaros` (upstream) or `dbrain` (perf fork). Mainline llama.cpp does not support the qwen3-tts architecture and will not load this file.
Usage
qwen3-tts-server \
--hf-repo dbrain/Qwen3-TTS-12Hz-1.7B-VoiceDesign-Q4_K_M-GGUF \
--hf-repo-v khimaros/Qwen3-TTS-Tokenizer-12Hz-GGUF:F16Note
Q4KM is a VRAM trade, not a speed one. On Ampere it's slower than Q80 (Q4K MMQ is poorly tuned for cc=86). Pick it when you need to fit the talker alongside other models on a small GPU.
Quality wise compared to Q8 across seeds its hard to hear a significant difference, but YMMV.
License
Apache-2.0 — derivative of `Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign`.
