cclearlee67/audimod / student.yaml
cclearlee67's picture
download
raw
1.15 kB
# 6-layer student. Keep this file beside model.safetensors
# and tokenizer.model. Guidance is already baked in.
weights_path: model.safetensors
weights_path_without_voice_cloning: model.safetensors
default_temperature: 0.3
flow_lm:
insert_bos_before_voice: true
dtype: float32
flow:
depth: 6
dim: 512
transformer:
d_model: 1024
hidden_scale: 4
max_period: 10000
num_heads: 16
num_layers: 6
lookup_table:
dim: 1024
n_bins: 4000
tokenizer: sentencepiece
tokenizer_path: tokenizer.model
mimi:
dtype: float32
sample_rate: 24000
inner_dim: 32
outer_dim: 512
channels: 1
frame_rate: 12.5
seanet:
dimension: 512
channels: 1
n_filters: 64
n_residual_layers: 1
ratios:
- 6
- 5
- 4
kernel_size: 7
residual_kernel_size: 3
last_kernel_size: 3
dilation_base: 2
pad_mode: constant
compress: 2
transformer:
d_model: 512
num_heads: 8
num_layers: 2
layer_scale: 0.01
context: 250
dim_feedforward: 2048
input_dimension: 512
output_dimensions:
- 512
quantizer:
dimension: 32
output_dimension: 512

Xet Storage Details

Size:
1.15 kB
·
Xet hash:
285313c1dae3a78ffedd10fb6fb45d72f1394ff373b5b1e6d623c27dcf2e37ee

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.