From idea to your own LLM
A guided workflow that takes you from idea to a trained model. Define your ideal model, build a specialized, quality-audited dataset, add your own documents and transcripts, then export a ready-to-go training script or train with one click. Sovereign intelligence has never been so accessible.No compute, coding or experience needed.
How it works
Five steps from idea to a model you own.
Define your model
Describe what your AI should know, how it sounds, and what it does.
Create your dataset
Generate specialized examples, and upload your own documents or transcripts.
Audit the quality
The validator flags weak examples with a clear reason. You make the final call.
Export or train
Export a ready-to-go training script, or train with one click.
Get your model
Receive a Hugging Face link to your model, or download the weights.
Choose your model size
Bigger models handle harder work. Not sure? Start with 9B.
Zero-Code End-to-End LLM Fine-Tuning and Deployment
Get direct access to the SFT Studio Pro 2 app and take your model from idea to deployment without writing code.
Buy app accessStarter (Dataset Only)
10,000 quality-audited training examples. No training tokens or inference included. Use it with your own hardware and open-source base model.
Buy nowSmall Model (4B)
Zero-code training tokens included to fine-tune a supported open-source 4B base model. Download weights to run locally, no inference provisioning needed.
Buy nowRecommended (9B)
Zero-code training tokens included to fine-tune a supported open-source 9B base model. First 100 fine tunes receive one month of free hosted inference provisioning.
Buy nowLarge Model (70B)
Zero-code training tokens included to fine-tune a supported open-source 70B base model for demanding work. Best run on hosted inference, available as an add-on plan.
Buy nowWhat each tier delivers
Every tier includes dataset parsing. Model tiers add zero-code training tokens on a supported open-source base model, plus a deployable result.
Starter
Dataset parsing: Your documents and transcripts are parsed into 10,000 quality-audited training examples.
GPU training: Not included. Use the dataset with your own hardware.
Deployment: Export a ready-to-go training script.
Small 4B
Dataset parsing: Dataset parsing and quality audit included.
GPU training: Managed training of a 4B model, no setup needed.
Deployment: Download weights or get a Hugging Face link. Runs well on modest local hardware.
Recommended 9B
Dataset parsing: Dataset parsing and quality audit included.
GPU training: Managed training of a 9B model, the best all-round pick.
Deployment: Hugging Face link or weights. First 100 fine tunes get one month of free hosted inference.
Large 70B
Dataset parsing: Dataset parsing and quality audit included.
GPU training: Managed training of a 70B model for demanding business work.
Deployment: Best run on hosted servers. Inference plans available, talk to sales.
Frequently asked questions
Is my data private?
Your documents and transcripts are used only to build your dataset and train your model. You review the dataset before training and you own the resulting model.
What are training token credits?
Each tier includes the training credits needed to fine-tune its model size. Bigger models use more credits, which is why price rises with size.
Do I need to code or own a GPU?
No. Training runs on managed compute, and you can train with one click.
Which model size should I pick?
Start with 9B for most projects. Choose 4B for local use, or 70B for demanding work on hosted servers.
Are these one-time payments?
Yes. Each tier is a single one-time purchase.