Best Fine-tuning AI tools
Adapts a base model to your own data, style or task instead of relying on prompting alone. The 10 highest-ranked of the 10 apps tagged Fine-tuning in the Onei AI catalogue.
Everything tagged Fine-tuning: apps, skills and MCP servers
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Unsloth AI
Open-source desktop app to run, serve and fine-tune text, image, video and audio models entirely on your own machine.
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Cactus Compute, Inc.
8-29 MB automation models that run on phones, wearables and microcontrollers — tool calling, structured extraction and embeddings, fully offline.
Also: Inference
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Run thousands of open models with one API call, and deploy your own without touching Kubernetes.
Also: API, Developers, GPU
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Entry Point AI Inc.
No-code workspace to run prompts over your data, generate synthetic training examples and fine-tune task-specific LLMs on your own provider accounts.
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Serverless GPUs from a Python decorator — deploy models and batch jobs with no containers or cluster to manage.
Also: Developers, GPU, Hosting
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Production inference for open and custom models — fast, autoscaling, and deployable into your own cloud.
Also: Developers, GPU, Hosting
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Inference and training platform for open models: serverless per-token APIs, dedicated GPU deployments, and managed fine-tuning with SFT, DPO and RFT.
Also: API, Developers, GPU
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GPU cloud for AI developers: on-demand GPU pods, serverless GPU endpoints that scale to zero, and multi-node clusters, billed by the second.
Also: Developers, GPU, Inference
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Leonardo.Ai is Canva's image and video generation platform, with its own and third-party models, reusable Blueprints, style training and an API.
Also: API
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Inference, fine-tuning, and GPU clusters for open models — the full stack for teams building on open weights.
Also: API, Developers, GPU
How this list is ranked
Ranked by editorial weight (0–100), plus 5 points per bookmark up to 10, plus or minus up to 20 for the average review rating; ties go to featured apps, then the most recently updated. Discontinued apps are never ranked.