abeebaCustom Model Fine-Tuning
A general model knows a little about everything. A fine-tuned model knows your products, your documents and your tone. We prepare your data, fine-tune open-weight models and prove the improvement with evaluations you can trust.
What's included.
Data preparation
Cleaning, de-duplication, PII removal and labeling to build a high-quality training set.
Efficient fine-tuning
LoRA, QLoRA or full fine-tuning chosen to fit your budget, hardware and goals.
Evaluation you can trust
Task-specific benchmarks and human review comparing the tuned model with the base model.
Deployment-ready weights
Quantized, versioned weights served on your infrastructure, with a model card.
How the engagement runs.
Define success
Agree the task, quality metrics and the baseline to beat.
Prepare data
Collect, clean and label examples; build held-out evaluation sets.
Train & iterate
Run fine-tuning experiments and compare against the baseline.
Ship & monitor
Deploy the winning model and monitor quality in production.
What you keep at the end.
- Curated training and evaluation datasets
- Fine-tuned model weights you own
- Evaluation report against the base model
- Model card and retraining playbook
Tools we commonly use
We pick tools to fit your environment and team. These are the ones we use most often.
How much data do we need?
For many tasks a few thousand good examples are enough. We assess your data in week one and tell you if more is needed.
Is fine-tuning always the answer?
No. Sometimes better retrieval or prompting solves the problem more cheaply. We will tell you when that is the case.
Who owns the fine-tuned model?
You do. Weights, data and code stay in your environment.
Often combined with.
Private & On-Prem LLM Deployment
Run open-weight models inside your own servers, VPC or air-gapped network.
Learn moreGPU Infrastructure Optimization
Cut inference and training cost by raising utilization across your GPU fleet.
Learn moreCloud-to-AI Migration
Move legacy workloads and data onto AI-ready infrastructure without downtime.
Learn moreReady to run AI on your own terms?
Book a 30-minute consultation with an infrastructure engineer. You'll leave with a clear view of options, costs and next steps, whether or not you work with us.