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hub / github.com/Standard-Intelligence/hertz-dev / get_hertz_dev_config

Function get_hertz_dev_config

model.py:375–443  ·  view source on GitHub ↗
(is_split=True, use_pure_audio_ablation=False)

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373
374
375def get_hertz_dev_config(is_split=True, use_pure_audio_ablation=False):
376 if is_split:
377 checkpoints = [('inference_care_50000', 'e4ff4fe5c7e9f066410d2a5673b7a935'), ('inference_scion_54000', 'cb8bc484423922747b277ebc2933af5d')]
378 elif not use_pure_audio_ablation:
379 checkpoints = [('inference_whip_72000', '5e7cee7316900737d55fc5d44cc7a8f7'), ('inference_caraway_112000', 'fcb8368ef8ebf7712f3e31e6856da580')]
380 else:
381 checkpoints = [('inference_whip_72000', '5e7cee7316900737d55fc5d44cc7a8f7'), ('inference_syrup_110000', '353c48f553f1706824c11f3bb6a049e9')]
382
383 quantizer_config=LatentQuantizer.Config(
384 from_pretrained=('inference_volcano_3', 'd42bf674022c5f84b051d5d7794f6169'),
385 compressor_config=FSQ.Config(
386 levels=[8,8,8,8,8],
387 dim=2048,
388 num_codebooks=1,
389 keep_num_codebooks_dim=None,
390 scale=None,
391 allowed_dtypes=['float32', 'float64', 'bfloat16'],
392 channel_first=False,
393 projection_has_bias=True,
394 return_indices=True,
395 force_quantization_f32=True,
396 use_rms=False
397 ),
398 dim=2048,
399 ff_dim=8192,
400 input_dim=32
401 )
402
403 resynthesizer_config=TransformerVAE.Config(
404 io_config=GaussianMixtureIOLayer.Config(
405 latent_dim=32,
406 dim=4096,
407 num_components=8,
408 ),
409 stack_config=Stack.Config(
410 layers=8,
411 dim=4096,
412 seq_len=8192,
413 n_head=16,
414 ff_dim=11008,
415 kv_heads=16,
416 eps=1e-5,
417 theta=10_000
418 ),
419 quantizer_config=quantizer_config,
420 plex_layer=None,
421 plex_roll=1,
422 split=is_split,
423 from_pretrained=checkpoints[0],
424 )
425
426 return HertzDevModel.Config(
427 dim=4096,
428 vocab_size=32_768,
429 stack_config=Stack.Config(
430 layers=32,
431 dim=4096,
432 seq_len=2048,

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