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Forefront

Forefront helps developers train and deploy custom open-source AI models with private data, offering serverless APIs, evaluations, and data storage.

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What it is

Forefront is a development environment for running and fine-tuning open-source models using custom data. It lets developers bypass complex infrastructure setup and manage training, validation, and evaluation datasets in one place.

Key features

  • Fine-tune open-source models on custom datasets with built-in loss charts and evaluation benchmarks.
  • Access serverless inference endpoints for chat and completion tasks via API.
  • Store production data in ready-to-use datasets to continuously train models.
  • Export fine-tuned models to host them independently on other providers or self-hosted infrastructure.
  • Import models directly from HuggingFace to run inference within minutes.
  • Scale automatically based on traffic demand without managing GPU infrastructure.

Who it's for

This product suits developers, startups, and engineering teams building proprietary features on top of open-source models without maintaining complex backend infrastructure or handling GPU memory management.

Pricing

Forefront offers a free tier with a baseline allotment of credits and models. Paid options include a team tier priced at $99 per month and custom enterprise plans with expanded dataset limits, single sign-on, and dedicated support.

Use cases

  • Fine-tune open-source models on private data
  • Run inference with serverless API endpoints
  • Import models from HuggingFace
  • Export custom models for self-hosting
  • Inspect training and validation data samples

FAQ

Can I try Forefront for free?

Every plan includes $20 in free credits to fine-tune and inference any model.

Can I export my models?

You can take your model and run it by exporting it to self-host or host with another provider.

What does Forefront do with my datasets?

Forefront does not log any requests and never uses your data to train models.

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