iOmniAI™UNIFIED MODEL WORKSPACEJUST ASK BUDDY™

PYTORCH · MODEL HUBS · GGML/GGUF

Train with freedom.
Ship with discipline.

One workspace for planning model acquisition, training, conversion, quantization and deployment—without confusing a generated plan with an executed build.CREATE A BUILD PLAN ↓
iOTRAINPyTorch-compatibleSOURCEModel registryDEPLOYGGUF target
iOMNI BUILD PLANNER

Describe one portable model route.

PLANNER ACTIVE
UNIFIED ABSTRACTION · SEPARATE PROOF STATES

One interface. Three specialized systems.

01Training engineDynamic graphs, autograd and accelerator execution.RUNTIME CONNECTION REQUIRED
02Model registryMetadata, licenses, tokenizer and checkpoint discovery.ARTIFACT + LICENSE VERIFICATION REQUIRED
03Portable deploymentStatic graph conversion, GGUF metadata and measured quantization.CONVERTER + NUMERIC EVALUATION REQUIRED
CURRENT RELEASE

What exists now

  • PASS Responsive iOmniAI workspace interface
  • PASS Deterministic route planning and SHA-256 digest
  • PASS Native/adapter/external ownership classification
  • HOLD PyTorch training runtime execution
  • HOLD Registry download and license verification
  • HOLD GGUF conversion and numeric equivalence tests