Train & Export
Train and fine-tune your own models and export them whenever you want.
Heart of Technology
We solve the vendor lock-in problem with FlexAI. You don't have to use the models you train with your own dataset only on our platform. You can export the completed models in GGUF or Safetensors format and run them independently on your own servers. This ensures full model ownership and data independence.
Use Cases
Custom Industry Models
Models fine-tuned in technical languages like Medical or Legal.
Edge Deployment
Optimizing and exporting the trained model to run on a local device.
Brand Voice Fine-tuning
Consistent brand voice model trained with all the company's past content.
Proprietary Domain Expert
Expert model trained only with the company's special patented information.
Low-latency SLM Training
Training small language models (SLM) to run on mobile devices.
Dataset Cleaning
Automatically cleaning and anonymizing data before training.
Model Distillation
Transferring knowledge from a large model to a smaller and faster model.
Quantization for All
Compressing and exporting the trained model to formats like 4-bit, 8-bit.
Benchmark Testing
Automatically measuring the performance of the trained model with standard tests.
Model Versioning
Managing models at different training stages by versioning.
Technical Details
- Framework: PyTorch, Axolotl
- Supported Bases: Llama, Mistral, Qwen
- Formats: GGUF, AWQ, Safetensors
7/24 support is included for enterprise license holders.
Explore More
Manage all your AI processes integrated with the FlexAI ecosystem.