Optra Research
Optra Research
Small language models and fine-tuningOur goal: make AI affordable and accessible for everyone.
How: most AI models are billed per token, so the bill grows with every task you run. We offer fine-tuned open-weight models at affordable prices with unlimited tokens and no billing surprises, so you can run your automations without worrying about unexpected token bills.
We fine-tune Qwen 3.8 and other models, and we train small language models, for teams that need a model built for their own work.
- Train a small language modelA small model for one job, made for your task and your data.
- Fine-tune a large language modelTake a large model and teach it your domain, your format and your way of answering.
- Start with the problemTell us what the model must do and what data you have, and we will tell you what we can do.
Models on our GPUs
These models are downloaded on the Optra GPUs. We are fine-tuning all of them.
- TextQwen 3.8, LFM3-1.7B
- ImageFLUX.2 klein 9B, Qwen-Image 2.1
- VideoWan 2.1, Wan 2.2, LTX 2.5, MiniMax H3, InfiniteTalk
- VoiceChatterbox Multilingual, Maya 2 Native
For enterprises
- Fine-tuningAn open-weight model (Qwen 3.8 and others) adapted to your domain, language and tasks.
- LoRA trainingSmall adapters trained on your data, quick to train and easy to swap.
- QLoRA trainingLoRA on a quantised model, so large models train on fewer GPUs.
- Small models for one jobA small language model trained from a larger one for your task, cheaper and faster to run.
- Evaluation on your dataThe tuned model measured against the base model on a test set you agree, before it goes live.
- HostingYour model served on dedicated Optra GPUs, with unlimited tokens at an affordable price.
Talk to us: sumit@optracloud.com. Tell us what your team needs a model to do.