caeleste-speech-moss-tts-v1.5-nf4

bschooled/caeleste-speech-moss-tts-v1.5-nf4

caeleste-speech-moss-tts-v1.5-nf4 is a machine learning model from bschooled. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

4-bit NF4 (bitsandbytes) quantization of OpenMOSS-Team/MOSS-TTS-v1.5.

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From the Hugging Face model README

moss-tts-v1.5-nf4

4-bit NF4 (bitsandbytes) quantization of OpenMOSS-Team/MOSS-TTS-v1.5.


Upstream repository	`OpenMOSS-Team/MOSS-TTS-v1.5`
Upstream revision	`cdd3b911b1585e3f2dbc7775ef10f9926f58850a`
Upstream license	`apache-2.0`
Quantization	bitsandbytes NF4, double quantization, bf16 compute
Original size	15.83 GiB
Quantized size	6.23 GiB

Quality text-to-speech (Qwen3-8B backbone). This is the model that cannot fit a 16GB GPU unquantized.

Changes from upstream

The weight tensors have been replaced with their NF4-quantized equivalents and a quantization_config block was added to config.json. Tokenizer, processor, and any remote-code files are copied unmodified from the upstream revision above. No architecture, vocabulary, or generation defaults were altered.

Requirements

Loading requires bitsandbytes and a supported accelerator. NF4 kernels are available for NVIDIA sm_75+ (Turing and newer) and for AMD ROCm on RDNA3 / RDNA3.5 / CDNA.

from transformers import AutoModel

model = AutoModel.from_pretrained(
    "bschooled/caeleste-speech",
    subfolder="moss-tts-v1.5-nf4",
    device_map={"": "cuda:0"},
    trust_remote_code=True,
)

License

This derivative is distributed under the upstream license, apache-2.0. All upstream copyright, patent, trademark and attribution notices are retained. Refer to the upstream repository for the authoritative license text.

Type: moss_tts_delay
Created: Aug 19, 2026
Updated: Aug 19, 2026