Plan
Organize dataset sources, bundled knowledge, language basics, reasoning, stories, and structured Q&A before training.
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DrunkenBot LLM-IDE
A complete local AI workshop for building, training, testing, and exporting language models.
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See the workshop in motion
Your complete AI workshop
Ingestion Matrix
Preview files, tokenize sources, extract code blocks, preserve indentation, and review dataset quality and readiness.
Neural Forge
Configure transformer architecture, epochs, batch size, optimizer, learning-rate schedule, precision, checkpoint resume, and CUDA hardware.
Fine-Tuning Lab
Prepare instruction fine-tunes with LoRA adapters, compatibility checks, dataset fitting, telemetry, and resumable training.
Model Training Live
Watch live loss curves, learning rate, gradients, throughput, attention, activation distributions, and model-flow visualizations.
Export Bay
Package models, quantize checkpoints, export Hugging Face artifacts, create Llama adapters, and convert compatible models to GGUF.
Chat
Load a GGUF or MicroGPT checkpoint, tune context and sampling, and test your model in a local conversation.
Job Manager
Coordinate workers, publish remote jobs, synchronize artifacts, and launch GPU training through RunPod or connected machines.