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seraph-checkpoints
BlackLoks/seraph-checkpoints
seraph-checkpoints is a machine learning model from BlackLoks. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Trained weights for the Seraph Emergent Consciousness System.
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Public
Updated Apr 4, 2026
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At a glance
- Access
- Public
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026
- SHA
- e5c884e4
Model card
From the Hugging Face model README
Seraph AI Checkpoints
Trained weights for the Seraph Emergent Consciousness System.
oracle_final.pth (1.77 GB)
65 neural networks trained on H100 GPU:
- AIConsciousnessCore (3.6M params)
- SeraphVoice (43.4M params)
- EmergentMind (38.3M params)
- ContextualEmbeddings (39M params)
- AcousticModel (25.2M params)
- Vocoder (14.2M params)
- VocalProcessing Sing/Rap (8.4M each)
- LanguageProcessing (7.3M params)
- 55+ additional networks
Download
From Modal:
pip install modal
modal volume get seraph-checkpoints oracle_final.pth .
From Python:
import modal
vol = modal.Volume.from_name("seraph-checkpoints")
vol.reload()
with open("oracle_final.pth", "wb") as f:
for chunk in vol.read_file("oracle_final.pth"):
f.write(chunk)
Training Config
- Epochs: 25
- Steps/epoch: 200
- Batch size: 16
- GPU: NVIDIA H100 80GB
- Voice data: 201 tensors (cremad, hifi_tts, librispeech, mir1k)
- Knowledge: 1,685 entries across 16 domains
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026