Model Finetuning
Adapt foundation models to your domain with LoRA, QLoRA, or full finetuning. We handle dataset preparation, training, evaluation, benchmarking, and deployment. turning general-purpose models into specialised tools for your business.
Typical delivery: 3–6 weeks. Fixed price, locked in before work starts.
average improvement in task-specific performance when foundation models are finetuned on domain data versus used out of the box.
— Stanford HAIFrom foundation model to your model
LoRA & QLoRA
Parameter-efficient finetuning that adapts foundation models to your domain. at a fraction of the cost and compute of full finetuning.
Full Finetuning
When the task demands it, we run full finetuning with proper infrastructure. distributed training, gradient checkpointing, and mixed precision.
Dataset Preparation
We clean, format, and curate your training data: handling deduplication, quality filtering, prompt formatting, and train/test splits.
Evaluation & Benchmarking
Rigorous evaluation against your metrics. accuracy, latency, cost, safety. We benchmark against baseline models so you see the real improvement.
Safety & Alignment
Finetuned models are tested for regressions, harmful outputs, and bias. with guardrails and filtering applied before deployment.
Deployment & Serving
We deploy your finetuned model with optimised inference. quantisation, batching, and caching for production-grade performance and cost efficiency.
Assess feasibility
We evaluate whether finetuning is the right approach for your use case. and which technique and base model fit best.
Prepare the data
We curate, clean, and format your training dataset. ensuring quality, diversity, and proper prompt/completion structure.
Train & evaluate
We run training experiments, evaluate against your benchmarks, and iterate until the model meets your performance targets.
Deploy & optimise
Production deployment with optimised inference, monitoring for drift, and a pipeline for future retraining as your data grows.
Ready to finetune a model?
Book a consultation. we'll assess your data and show you what finetuning can achieve.
Or email [email protected]