Vibe-build, train and tune your own AI models
WhisperAI Terminal is a multimodal model trainer and creator. Describe what you want a model to do and the Forge console builds it end to end — gathering the data, choosing the base model, training, distilling, refining and testing. Or take the controls yourself: start from scratch, from a Hugging Face import, or from a model or dataset already in your storage, on the GPU tier you choose, with resources you monitor and every checkpoint yours to download.
From an idea to a trained model, at any starting point
The Forge console is a vibe-style build console for models. Nothing but a sentence is required to begin, and every stage stays visible, priced and under your control.
- 1
Say what it's for
"A support assistant that knows my help site" or "shrink this 70B teacher into something I can run on one GPU" is enough to start.
- 2
Get a plan and a price
The Forge picks the smallest capable base model, lists every step — crawl, import, initialise, fine-tune, distill, clean-up — and shows the gem cost and runtime before anything runs.
- 3
Start from any level
From nothing at all (design the architecture yourself), from an open-weight or catalog model, from a Hugging Face import, or from a model, adapter or dataset already in your storage.
- 4
It builds and refines
Data is gathered, runs are queued on the GPU tier that fits, and later passes can refine the checkpoint the earlier pass produced. Temporary sources are deleted when it's done.
- 5
Test, then download
The finished model is checked against acceptance tests written for your goal — ask it anything yourself — then download the weights and keep them.
Vibe-build a model
Describe the model you want in plain English. The Forge console writes the build plan, prices it up front, runs every step and tests the result.
Pull from the hubs
Search Hugging Face models and datasets, the Ollama library and GitHub, then import straight into your workspace.
Crawl your own data
Point the crawler at any site, pick which media types to harvest, preview pages in the tuning browser, and it becomes a JSONL dataset.
Train, distill or tune
Fine-tune a catalog model, distill a big teacher into a small student, or keep training a model already in your storage — full control of method, precision, LoRA rank, epochs, batch size, learning rate, steps and seed.
Metered compute
Choose a GPU tier and see the gem price and estimated runtime before you start. Cancel mid-run and unused time is refunded.
Bring your own files
Upload weights, adapters and datasets from your device into private per-account storage.
Yours to keep
Every model, checkpoint and dataset is downloadable and deletable at any time.
Compute tiers
Billed per minute in gems — the same wallet as WhisperAI Bots. Rates track what the GPU host actually costs on Fly.io (100 gems = $1), so you pay close to metal plus a small operating margin.
| Accelerator | Memory | Gems / min | Host cost | Best for |
|---|---|---|---|---|
| CPU pool | 8 GB RAM | 1 | $0.23/hr · performance-4x · 8 GB | Tiny models, embeddings, tokenizer work |
| L40S | 48 GB | 5 | $1.53/hr · l40s · performance-4x · 16 GB | LoRA on 7B, small vision runs |
| A10 | 24 GB | 5 | $1.86/hr · a10 · performance-8x · 32 GB | Comfortable 7–13B fine-tuning |
| A100 40 GB | 40 GB | 8 | $2.86/hr · a100-40gb · performance-8x · 32 GB | Full fine-tunes, 30B LoRA, diffusion |
| A100 80 GB | 80 GB HBM2e | 12 | $4.28/hr · a100-80gb · performance-8x · 64 GB | Frontier-scale training and distillation |
Job types
Fine-tune
Adapt a base model to your dataset (LoRA or full)
Model → model distill
Teach a small student model from a larger teacher
Embed / index
Turn a dataset into vectors for retrieval
Crawl & build dataset
Harvest text and media from the web
Plans
Free tier: 5 GB storage, free daily gems, one run at a time.
Lab
$9.99/mo
or $99.90/yr — 2 months free
- 50 GB model & dataset storage
- 600 gems every month
- 10% off all compute
- Up to 2 concurrent runs
- Accelerators up to A10
Forge
$24.99/mo
or $249.90/yr — 2 months free
- 250 GB model & dataset storage
- 1,800 gems every month
- 25% off all compute
- Up to 4 concurrent runs
- Accelerators up to A100
Foundry
$59.99/mo
or $599.90/yr — 2 months free
- 1 TB model & dataset storage
- 5,000 gems every month
- 40% off all compute
- Up to 8 concurrent runs
- Accelerators up to H100
Extra storage add-ons
Stack as many as you need — each bills monthly.
+10 GB
$3.45/mo
+30 GB
$9.20/mo
+50 GB
$13.80/mo
+100 GB
$23.00/mo
Get the WhisperAI Terminal app
Install WhisperAI Terminal to your phone, tablet or desktop — its own icon, full screen, no browser bar.
On desktop: click the install icon in the address bar, or use the browser menu → Install WhisperAI Terminal.
Installs directly from this page — no app store account needed.
Sloe trains a model
a very short comic
Loss curve going down
serotonin going up
"It's just a small dataset"
it beat the big one
GPU: on fire
Sloe: horizontal
Sloe can help
- Start with a small, clean dataset before a huge messy one.
- Watch the loss curve like a kettle — a steady drop is good.
- Bundle specialists instead of one model doing everything.