Forefront

forefront.ai ↗

Fine-tune and run open-source models on your data

SI Score
74/100
Pricing
Freemium
Free plan
Yes
Sign-up required
Not confirmed

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Homepage screenshot
Screenshot of the Forefront homepage
SI REVIEWBased on the site's own pages, in a directory managed by people

What it does

Forefront is a platform for fine-tuning and running open-source language models. Developers can train models on private data, check validation results and loss charts, and call models through serverless chat or completion endpoints. It also stores production data in datasets that are ready for fine-tuning.

Forefront is built for developers who want to fine-tune open-source models without managing GPUs or servers. You can start from a model, train it on your own data, watch loss charts, and check results on a validation set. The platform also offers evals such as MMLU and TruthfulQA. Once a model is ready, you can test it in the Playground and call it through serverless chat or completion endpoints. If you prefer to host elsewhere, you can export your models. Forefront also collects production data into datasets for later fine-tuning. The pricing page lists a free plan at $0 per month, a Team plan at $99 per month, and custom Enterprise pricing. The homepage shows token prices for Phi-2, Mistral-7B, and Mixtral-7Bx8. Before you commit, check the model catalog and plan limits, since the site lists only a few models and limited plan details. Also confirm data handling and export options if you need self-hosting or strict privacy.

Strengths
  • Fine-tunes open-source models on private data
  • Serverless inference endpoints for every model
  • Built-in evals and validation tools
  • Export models for self-hosting or another provider
Watch out for
  • The homepage lists only a few models
  • Pricing page shows limited plan details
  • No mobile apps mentioned
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