Build your model

Custom small language models

Give your work
its own model.

We turn your code, documents, or examples into a focused AI model. You download it, run it locally, and own every file.

Build your model See how it works

Private beta · Workspace subscription + transparent training credit

YOUR MODEL READY
support-expert.gguf 3B · 2.14 GB
TRAINED FOR

Answering technical questions from your product documentation.

  • 01model.ggufYOUR MODEL
  • 02evaluation.pdfTEST RESULTS
  • 03quickstart.mdRUN LOCALLY
Works with Ollama · llama.cpp

Runs locally. Your data stays yours.

Clear costs. Approve every training run.

Open format. No vendor lock-in.

How it works

From raw material
to a model in three steps.

01

Tell us the job

Describe the one task your model should do well: answer questions, classify text, extract information, or something specific to your team.

02

Share the source

Upload code, documents, PDFs, or examples. We turn the raw material into clean, task-specific training data.

03

Download your model

We train, test, and package it. You receive a GGUF model that runs with Ollama, llama.cpp, and compatible tools.

What makes it different

We don’t host your model.
We hand it to you.

Your subscription organizes the workspace; it does not lock the finished model. Put the GGUF in your product, run it on a laptop, or keep it inside your network. There is no inference API key and no query meter running in the background.

FORMAT
GGUF
MODEL SIZE
1.5B / 3B / 7B
RUNTIME
OLLAMA / LLAMA.CPP
OWNERSHIP
100% YOURS

Product model

Train often.
Keep every version.

A subscription keeps your workspace active. Prepaid credit covers the variable cost of each approved training run.

Workspace subscription

Workspace

Organize multiple projects, models, versions, runs, and artifacts.

  • Project-based document library
  • Multiple model identities and versions
  • Training history and evaluations
  • GGUF artifact library
Create workspace

Training credit TRANSPARENT USAGE

Credit

Fund knowledge generation and GPU work without an open-ended bill.

  • Estimate shown before every run
  • Credit reserved only after approval
  • Actual cost settled in a visible ledger
  • Purchased credit does not expire
Open a workspace

Questions

Before you train.

Does my model need the cloud?

No. The finished model runs on your own hardware. Once delivered, it has no dependency on WeTrain or a hosted API.

What kind of data can I use?

Code repositories, documentation, PDFs, text files, labeled examples, or public knowledge. We validate the material before training.

How long does it take?

Most supported projects are designed to be delivered in 4–12 hours after the source material passes validation.

What if the result is not good enough?

Every delivery includes an evaluation report. If the model does not clear our quality threshold, the order is refunded.

Private beta

One model.
One job. Done well.

WeTrain is preparing its first customer projects. The order flow will open to early-access teams first.

Create your workspace