We take your questions and answers and turn them into a 7B–14B AI model that answers like you — in your voice, in your domain. Every model ships with a scored accuracy report, so you know it works before you deploy it.
No prompts to babysit. No API bills. A real, fine-tuned model you own.
100–5,000 real Q&A pairs in your domain — JSON, CSV, or even a doc. We clean and shape it.
A 7B or 14B model is trained on your data using LoRA/QLoRA on a dedicated 2×32GB GPU rig.
GGUF or HuggingFace weights, a how-to-run guide, and a scored accuracy report on held-out questions.
Most fine-tuning gigs hand you a file and say "good luck." We verify it first.
Every model is scored on a held-out slice of your own questions. 80%+ accuracy or we retrain — free.
Training runs on a local rig, not a public API. Your data never leaves to a third-party endpoint.
A 7B LoRA trains in under an hour of compute. Most projects deliver in 24–48 hours.
Trained on your Q&As — not prompt-engineered. The model knows your answers.
One fine-tune, one delivery, one scored report. Prices in SGD.
Need 30B, multimodal, or a custom scope? Request a quote — 30B is a pre-order until we add VRAM.
A prompt template instructs a generic model. A fine-tune changes the model's weights so it knows your answers natively — better accuracy, your voice, and lower prompt overhead.
7B and 14B today (LoRA and QLoRA). 30B+ is available on pre-order as our hardware scales. We default to Qwen2.5 but can work with Mistral, Llama, and others.
Yes. Training runs on a private, local 2×32GB GPU rig — not a public API. We delete your dataset on delivery unless you ask us to keep it.
Model weights (GGUF and/or HuggingFace), a how-to-run guide for your runtime (Ollama, llama.cpp, vLLM), and a scored accuracy report on held-out questions.
Every tier includes at least one free revision. If the held-out eval misses the 80% target, we retrain once at no cost.
7B: 24–48 hours. 14B: 2–5 days. Turnaround starts when your dataset is approved.
Send your dataset and tell us the domain. We'll scope it, train it, and hand you a tested model with a report.