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-
redirect training subprocess stderr to log file for debugging
e69e9ec -
run training as detached subprocess to survive Gradio session timeout
a4a86a8 -
use bfloat16 precision for training to halve RAM usage
a0e1f4c -
stop ace-server during training to free RAM, restart after, add log visibility
c2cb0b9 -
monkey-patch torchaudio.load to use soundfile backend
afccbc0
-
add LoRA training, fix css kwarg
625132a -
full app: CLI + Gradio + training placeholder + MCP
72e4b69 -
rewrite app.py for ace-server HTTP API, no torch
2dc2899 -
clickable title
fe00878 -
slim title
1e6f1c3 -
compact grid UI, 4B default, show training model
4b376ab -
force float32 on training model for CPU
562fa54 -
fix: LoRA rank param is 'r' not 'rank'
dece91f -
fix training: use LoRAConfigV2 instead of Union type alias
a6b0e73 -
step 7: real app.py
dae27d4 -
step 6: +numba (all deps)
2da29c2 -
step 5: +vector-quantize-pytorch
3280257 -
step 4: +peft +torchvision
27ddf91 -
step 3: core deps without heavy ones
7de0ea2 -
step label
f0eaee4 -
step 1: bare gradio
5c82a90