Skip to main content
Validate before you pay — failed runs cost nothing

Fine-tune any LLM.
Your dataset,
your adapter.

Upload a JSONL. We check it free. You see the price. We train. You download PEFT-compatible LoRA weights. No platform lock-in. No hidden tiers. Runs from $5.

Check first, pay afterRuns start at $5LLaMA, Mistral, GemmaAPI included
support replies dataset
BeaverYard training
eligiblequeuedtrainingcomplete
USE CASE
customer_replies.jsonl
0 support examples
json
json
json
json
json
json
json
LORA CORE
PEFT-format
ADAPTER
artifacts.tar.gz
download ready
Checks passed · price confirmedprice locked at upload
your assistant is ready
Base models
LLaMA · Mistral · Gemma
LLaMAMistralGemma
Format
PEFT-compatible LoRA
Runs from
$5
Validation
Always free
PASS
Delivery
Adapter weights
adapter_model.safetensors
From dataset to adapter

Five steps. No surprises.

Every checkpoint is validated before payment. The price you see is the price you pay.

01
Step 01 · Upload

Upload dataset

JSONL format, any size within published limits.

JSONL · drag & drop
.jsonl
drop here
02
Step 02 · Validate

Free validation

Format, size, token count, and record limits — checked before payment.

$0 · always free
format · jsonl
size · within cap
tokens · counted
records · valid
03
Step 03 · Review & pay

Review & pay

See your assigned tier and exact price. Pay only when eligible.

From $5 · price locked
$5–9
Launch tier · per run
04
Step 04 · Train

Training runs

We fine-tune using a standardized recipe with the base model you chose.

LoRA · PEFT · adapter
05
Step 05 · Download

Download artifacts

Adapter weights and two customer guides. Yours within 7 days.

7-day window · PEFT-format
What makes us different

Built around your workflow.

$
$
$
01 / Pricing

Flexible pricing

Pay per run, or save up to 30% on every run with BeaverYard Pro. Memberships also include Priority Processing and priority support.

02 / Validation

Validate before you pay

Format errors, size overages, token caps, record limits — all checked before we ask for payment. Failed validations cost nothing.

03 / Delivery

Download-first delivery

Your adapter weights and config files are yours to download and run on any compatible infrastructure. No platform lock-in.

04 / Docs

Customer guides included

Every run ships with a Training Focus Summary and Usage Guidelines — plain-language docs on what your adapter learned and how to use it.

05 / Format

PEFT-compatible adapters

Adapter weights and config ship in standard PEFT format — ready for popular inference frameworks and your existing workflow out of the box.

{
}
06 / API

API access available

API access is available for every run. Integrate fine-tuning runs directly into your pipeline without touching the dashboard.

Explore the API docs
What you get

Everything you need after training.

Three artifacts per completed run. Available to download for 7 days from completion.

adapter ready
PEFT compatibleplug & play7-day access
01

Adapter package

  • adapter_model.safetensors
  • PEFT-compatible format
  • Drop into any inference stack
Training Summary
02

Training Focus Summary

  • What your adapter learned
  • Behavioral changes to expect
  • Plain language, no jargon
Download artifacts
available for 7 days
Load & test your model
with your own data
Ship to your product
no platform lock-in
03

Usage Guidelines

  • How to load your adapter
  • Where it performs well
  • Where it may struggle
How we operate

Designed for transparency, not complexity.

Validation always free

Format, size, token count, and record limits — all checked before you're asked for a card. If your dataset can't run, you don't pay.

llama
mistral
gemma

Standardized recipes

One LoRA recipe per base model family, tuned by us. No knobs to misconfigure, no parameter-tuning rabbit hole.

dataset
adapter

One path, on purpose

One LoRA recipe per base model. We're not pretending to be a hyperscaler — we're optimizing one path so you don't pay for choice you don't need.

7
DAYS

Your data, your weights

7-day retention on artifacts, then deleted. We don't resell datasets, we don't host inference, we don't keep your model.

Transparent pricing

Reference bands. No guessing.

BeaverYard auto-assigns the right band after upload and validation. The higher required tier wins when dataset size and tokens disagree.

Orbit

Datasets 300–600 MB · Up to 12M tokens
$15–25 / run
  • Adapter weights + config
  • Training Focus Summary
  • Usage Guidelines
  • 7-day download window
  • API access included

Save 20% with Plus ($3/mo) · 30% with Pro ($5/mo) · PAYG always available

Membership tiers

BeaverYard Plus and Pro.

Optional. Pay-as-you-go is always available, no membership required.

Pay-as-you-go
$0/ month

Default. No commitment.

  • Per-run pricing at standard tier rates
  • Free validation before payment
  • Full API access
  • Standard queue priority
Start a run
Plus
★ Most popular
$2.50/ month$3

Billed $30/yr — Save 17%

  • 20% discount on all training runs
  • Priority queue placement
  • Free validation, full API access
  • Pays for itself after ~2 Launch runs
Start with Plus
Pro
Max savings
$4/ month$5

Billed $48/yr — Save 20%

  • 30% discount on all training runs
  • Highest queue priority
  • Free validation, full API access
  • Best value above ~3 runs/month
Start with Pro
Common questions

The honest answers.

Which base models can I fine-tune?+
LLaMA, Mistral, and Gemma — the three open-weight families with mature LoRA tooling. We pin specific revisions per family to keep training reproducible.
What format does my dataset need to be in?+
JSONL with one example per line. Our validator walks you through expected fields. Wrong shape? You'll see exactly what's off — for free, before payment.
What if my run fails?+
If validation fails, you don't pay. If a run fails after we've started training, we re-run it once at no charge or refund. We'd rather refund you than have you doubt the bill.
How long are my artifacts available?+
7 days from completion. Download the adapter, the Training Focus Summary, and the Usage Guidelines, then we delete our copy.
Do you host inference?+
No, on purpose. You take your weights to whatever inference stack you already use — vLLM, TGI, SGLang, transformers. No platform lock-in, no second bill.
Is there an API?+
Yes, on every plan including PAYG. Trigger runs, poll status, fetch artifacts. Wire it into your CI in an afternoon.

Ready to train your custom model?

Upload your dataset, get a free eligibility check, pay only when your run qualifies. Runs from $5.

Start Run