BYOD
Bring Your Own Data
Your data trains your model. Not stock datasets, not other people's content. Drop in your folder (writing samples, codebase, notes, customer chats) and we build a model that knows YOUR stuff.
DozyTune · v1
Upload your files. We RAFT-tune a LoRA in the cloud and notify you when it's complete. You download a model that runs locally on Ollama, LM Studio, or OpenClaw. No subscriptions. No API fees. No data leaving your machine.
Pre-release
We're shipping the public release of DozyTune in the next few weeks. Create your account now to claim early access, a free pre-flight check on your data, and 50% off your first training run.
The three pillars
BYOD
Your data trains your model. Not stock datasets, not other people's content. Drop in your folder (writing samples, codebase, notes, customer chats) and we build a model that knows YOUR stuff.
RAFT-trained
Most AI either memorizes (and makes things up) or retrieves (and gets confused). DozyTune does both. RAFT (Retrieval-Augmented Fine-Tuning) teaches your model to combine learned knowledge with reference material intelligently. The same technique used in research labs, now in your hands.
Local forever
Once trained, your model runs on Ollama, LM Studio, or OpenClaw with no ongoing costs and no internet required. Pay once. Run for years. Never have your data, your AI, or your costs change underneath you.
How it works
No training code, no GPU rental, no GGUF conversion scripts. Pick a folder, click train, get a file you own.
01
Upload a folder of files. Documents, code, notes, chats, samples. We classify each piece into training-worthy and reference-worthy automatically.
02
A worker activates a cluster for the training job. We generate RAFT-style training data with distractor documents, fine-tune a LoRA on your model of choice, and quantize the result to GGUF. We notify you when it's complete.
03
Download a complete package. The model file, a Chroma index for RAG, an Ollama Modelfile, and an OpenClaw skill. Drop it on your machine. Done.
Why DozyTune
The big-lab API economy charges you per token, owns your data, and silently changes the model under your feet. DozyTune is the opposite of that.
Training files leave your machine only during the training run, then get deleted from our servers within 24 hours. The trained model runs only on your hardware. No telemetry. No "model improvement" pipeline using your data.
The model you get is a file you own. No monthly minimum. No per-token bill. No API throttling. No surprise terms-of-service changes pulling features.
First-class integration with Ollama, LM Studio, and OpenClaw. Drop the package in. We handle Modelfile generation, GGUF quantization, and SKILL.md formatting automatically.
Free guides on what training data actually produces the model you want. Plus our pre-flight check tells you if your data is good before you pay.