Quick facts
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- Model training
- Pricing
- Freemium
- Editor rating
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About Commissioned
Socials: Commissioned is a tool to create fine-tuned models from documents (PDF, CSV, etc..) directly. No data-formatting. No infrastructure. No coding. You can use it to get models with much better style adherence for writing emails, blogs, roleplaying and any other form of content generation. Enterprises can also upload a dataset as a CSV, select input and output fields and get a fine-tuned model for labeling and classification. All the hassle is managed for you behind the scenes. It currently supports fine-tuning models from OpenAI, Google and the open-source community. For open-source models we use LoRA which allows us to complete a typical fine-tuning job in less than 5 minutes. It also means that you can download the adapter to run the model on your own hardware. We look forward to supporting more models and data formats. Supported featuresRun locally
Pros
- Fine-tunes models automatically
- No data formatting
- No coding
- No dedicated infrastructure
- Better style adherence
- Multiple content generation
- Supports Gemini 2.5/Flash/Pro
- Supports GPT 4.1/Mini
- Supports Qwen3-8BSupports open-source models
- Allows model downloading
- No ML team required
- Machine Learning Optimization
Cons
- Limited model support
- Dependent on external hardware
- Too automated
- No code customizations
- Possible oversimplification of MLLack of transparency in optimization
- No support for other languages
- Business use case focused
- Lack of specific feature control
- Potentially high learning curve