Visual model explorer
Browse 50+ pre-trained models with architecture diagrams, parameter counts, and performance benchmarks — all before you commit.
Runs on your machine. Scales to managed GPUs when you need them.
Understand, fine-tune & train AI models — visually.
ModelForge Studio gives beginners and experts alike an intuitive workspace to explore, fine-tune, and train AI models — on your own device, in your data center, or in the cloud.
Built for every level: BeginnerIntermediateExpert
50+
Open-source models
3
Fine-tuning methods
Anywhere
Local, on-prem, or cloud
Features
Everything you need to go from raw model to production
From your first model exploration to deploying a fine-tuned model at scale — ModelForge Studio covers the entire workflow in one intuitive platform.
One-click fine-tuning
Apply LoRA, QLoRA, or full fine-tuning with a guided interface. Configure hyperparameters visually and launch training in seconds.
Live training dashboard
Watch loss curves, accuracy, and GPU utilization update in real time. Pause, resume, or roll back to any checkpoint instantly.
Dataset Studio
Upload, clean, and version your datasets with built-in deduplication, tokenization, and train/validation splitting tools.
Evaluation & benchmarking
Run automated evaluations against standard benchmarks or your own test sets. Compare model versions side-by-side with clear visual reports.
Deploy anywhere
Train and serve wherever you run — your own device, your data center, or the cloud. Export to Hugging Face or ONNX, or serve a REST endpoint.
How it works
From zero to deployed in three steps
Bring your own compute — a laptop, an on-prem cluster, or a cloud GPU. ModelForge handles the heavy lifting so you can focus on your model, not your config files.
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Choose your model
Browse 50+ open-source models like Llama, Mistral, Phi, and Gemma. Compare architectures, sizes, and benchmarks side-by-side to find the right starting point.
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Fine-tune & train
Upload your dataset, configure hyperparameters visually, and launch training on the hardware of your choice. Watch progress in real time with live metrics and checkpointing.
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Evaluate & deploy
Run automated benchmarks, compare model versions, and deploy to a REST endpoint, Hugging Face, or ONNX — all with a single click and full version control.
Pricing
Simple pricing for every stage of your journey
Runs on your machine. Scales to managed GPUs when you need them. Start free, then upgrade, downgrade, or cancel anytime.
Starter
Free / forever
For beginners exploring AI models for the first time.
Start free- Browse all 50+ pre-trained models
- 1 active fine-tuning job
- Community datasets (up to 1 GB)
- Single-machine training
- Basic evaluation reports
- Community support
Pro
Most popular $49 / per month
For intermediate builders ready to train and deploy serious models.
Start Pro trial- Everything in Starter, plus:
- 10 active fine-tuning jobs
- Private datasets (up to 50 GB)
- GPU-accelerated training
- Advanced evaluation & benchmarking
- Deploy to REST endpoint
- Priority email support
Studio
$199 / per month
For teams and seasoned AI builders running production workloads.
Contact sales- Everything in Pro, plus:
- Unlimited active jobs
- Private datasets (up to 500 GB)
- Multi-GPU & multi-node clusters
- Custom evaluation pipelines
- Team collaboration (up to 10 seats)
- Dedicated support & SLA
All plans include model versioning, checkpoint management, and export to Hugging Face / ONNX.
FAQ
Questions, answered
Everything you need to know about ModelForge Studio. Still curious? Reach out to our team.
Do I need to know how to code to use ModelForge?
Not at all. The visual studio lets you explore, fine-tune, and deploy models entirely through a guided interface. For advanced users, there is also a full code mode with Python notebooks and CLI access.
What models can I fine-tune?
ModelForge supports 50+ popular open-source models including Llama, Mistral, Phi, Gemma, and more. New models are added regularly based on community demand.
Where does training run?
On your machine by default — your laptop or workstation. When a job needs more, run it on servers in your data center or in a cloud environment. Starter covers single-machine training, Pro adds GPU acceleration, and Studio scales to multi-GPU and multi-node clusters.
Can I bring my own dataset?
Yes. Upload CSV, JSON, or Parquet files directly through the Dataset Studio. We handle tokenization, deduplication, and train/validation splitting automatically.
Where does my trained model live after training?
Every model is versioned and stored with full checkpoint history. You can export to Hugging Face Hub, download as ONNX, or serve it as a REST endpoint — all with one click.
Is my data private and secure?
Yes. When you run ModelForge on your own device or in your data center, your datasets and models stay on your infrastructure. Data is encrypted at rest and in transit, and we never use your data to train our own models.
Can I cancel my subscription anytime?
Yes, you can upgrade, downgrade, or cancel at any time from your account settings. There are no long-term contracts or cancellation fees.
Ready to forge your next AI model?
Use ModelForge Studio to train, fine-tune, and deploy AI models — on the infrastructure you choose.
No credit card required · Free forever plan