groxaxo/MOSS-TTS-v1.5-Argentina-MLX-oQ5-HQ8Speech-G64

🤗 Hugging Face 来源text-to-speechapache-2.08.5B 参数17 GBsafetensors✓ 321 个校验和今天更新

一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo groxaxo/MOSS-TTS-v1.5-Argentina-MLX-oQ5-HQ8Speech-G64 ./model-folder

需要做种者 →

MOSS-TTS v1.5 Argentina — MLX mixed-bit

MLX deployment build of a locally trained Argentine Spanish LoRA for OpenMOSS-Team/MOSS-TTS-v1.5. The selected adapter continued the selected female checkpoint for three epochs over the male Argentine split.

Quantization uses the recipe recovered from the owner's Mac:

normal Qwen3 backbone matrices: Q5 affine, group size 64
v_proj, down_proj, and transformer blocks 0–3 and 32–35: Q6 affine, group size 64
embeddings, LM/audio heads, and other speech-path modules: Q8 affine, group size 64
norms, biases, and the external audio tokenizer remain full precision

The LoRA was merged into luisarn/MOSS-TTS-v1.5-MLX-8bit before quantization. Adapter source label: MOSS-TTS-v1.5-Argentina-combined-female-epoch1-then-male-epoch2.

Load with a compatible mlx-audio checkout containing support for MOSS-TTS v1.5 and per-layer mixed quantization entries.