Build Private AI.
Own Your Models.
MoroAI transforms private datasets into dependable, high-yield local language models. Equipped with information-theoretic data compilation, VRAM pre-flight prediction, and automatic 5-step self-healing OOM recovery.
⚡ Executing Step 2 Recovery: Emptied CUDA cache + reduced micro-batch to 1 + increased accum to 16
The Complete Lifecycle for Private AI Models
Other tools only provide a training script. MoroAI is a complete, reliable, production-grade local adaptation pipeline from raw enterprise documents to audited deployment.
Epistemic Data Compiler
Information-theoretic curation with MI Guard. Rare boundary facts and domain specifics are mathematically preserved rather than pruned as outliers.
Hardware-Aware Recipes
Pre-flight VRAM audit predicts memory requirements down to the megabyte. Automatically configures LoRA rank, quantization, and batching for your exact GPU.
Self-Healing Training
5-step automatic OOM recovery engine. When memory spikes or loss explodes, MoroAI empties cache, resizes gradients, and rolls back checkpoints automatically.
Multi-Layered Evaluation
Deterministic validation rules, semantic accuracy judges, Wasserstein drift detection, and adversarial perturbation stress tests prove model stability.
DPO Feedback Flywheel
Turn production queries and corrections into preference pairs. Close the learning loop locally so your model continuously improves with zero cloud exposure.
One-Click Deployment
Directly export to GGUF format with customized quantization (Q4_K_M, Q8_0) and register into local Ollama, vLLM, or Docker in a single CLI command.
Cryptographic Provenance
Full Software Bill of Materials (SBOM) with cryptographic hashes linking the compiled dataset, hyperparameter recipe, and training weights for audit compliance.
Mission Control Dashboard
Modern, reactive web control center. Drag-and-drop training datasets, watch real-time GPU metrics and loss curves, and trigger evaluations visually.
Experiment Analytics
Cross-run comparative analytics and hyperparameter Pareto frontier visualization. Discover which data slices yielded the highest benchmark jump.
Modular Plugin System
Clean Python entry-points for custom tokenizers, data loaders, loss criteria, and enterprise deployment backends. Extend without modifying core code.
Optimized for Consumer GPUs
Built specifically to run 1.5B to 14B parameter models on single consumer graphics cards (RTX 3060, 4070, Apple Silicon M-series, or AMD ROCm).
100% Private & Sovereign
True local-first execution. Training data, model weights, and telemetry never leave your workstation or private VPC. No external API dependencies.
The MoroAI Architecture
Click on any phase below to inspect the mathematical guarantees, CLI commands, and contracts linking raw enterprise data to self-improving local models.
Epistemic Compiler
Compiles raw logs, code, or knowledge bases into high-density training pairs. Protects rare domain edge cases with Mutual Information Guard.
Zero external telemetry is sent. The entire process runs under local Python process management with deterministic seeding and file locking.
Why Teams Choose MoroAI
Other tools are mere training wrappers. MoroAI is a complete, self-healing, auditable adaptation foundry engineered for dependable local production.
| Capability | MoroAI Full Platform | Axolotl | Unsloth | LLaMA-Factory |
|---|---|---|---|---|
Data Quality & Curation | Epistemic + MI Guard | Basic filtering | None | Basic regex |
Edge-Case Preservation | Guaranteed (MI Guard) | No | No | No |
VRAM Pre-Flight Simulation | Exact Tensor Simulation | Manual Guesswork | VRAM Rule of Thumb | None |
Autonomous OOM Auto-Recovery | 5-Step Autonomous Healing | Crashes on OOM | Crashes on OOM | Crashes on OOM |
Loss-Spike Anomaly Rollback | Automated Checkpoint Revert | Manual | Manual | Manual |
Multi-Layer Evaluation | Rules + Drift + LLM Judge | Loss metric only | Loss metric only | Basic BLEU/ROUGE |
Adversarial Stress Testing | Built-in Perturbation Engine | No | No | No |
Cryptographic Provenance (SBOM) | SHA-256 Manifest + Gate Audit | No | No | No |
Interactive Mission Control UI | Real-time Web Dashboard | CLI only | CLI / Notebook | Gradio demo |
One-Click Local Deployment | Direct Ollama / GGUF Export | Manual conversion script | Manual llama.cpp steps | Manual export commands |
Continuous DPO Flywheel | Closed-Loop Feedback Mining | Separate DPO script | Manual dataset preparation | Manual pairs |
Plugin Architecture | Python setuptools entry_points | Hardcoded scripts | Proprietary core | Forks required |
Trusted by Builders of Sovereign AI
Engineered for practitioners who require absolute data privacy and mathematical reliability.
"We spent 3 months dealing with random CUDA OOM crashes using custom scripts. MoroAI predicted our VRAM down to 100MB and the 5-step auto-recovery saved 6 long runs without any human intervention."
"MI Guard in the Epistemic Data Compiler is revolutionary. When we pruned our 40,000 internal legal support cases with other tools, rare compliance edge cases vanished. MoroAI mathematically kept them safe."
"Running local adaptation on an RTX 4090 and deploying straight to Ollama in one CLI command transformed our internal prototyping cycle from weeks to under two hours."
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