Model Fine-Tuning: Remember Everything
Finally, an AI that gets your context—all of it.
Generic AI forgets. Yours won't. We train models on your entire document library at once—50+ PDFs, 100k+ tokens—so it speaks your language, knows your data, and never loses context. All on local private infrastructure.
Complete Deliverable Package
Here's everything included in your training project.
Your Fine-Tuned Model
- Fine-tuned model weights in HuggingFace format
- LoRA adapters (if using QLoRA training)
- Tokenizer configuration optimized for your data
- Inference scripts (Python, API endpoints)
- Docker container for easy deployment
Validation & Documentation
- Training report with loss curves and metrics
- Accuracy validation on your test set
- Sample outputs demonstrating learned behavior
- Hyperparameter documentation (learning rate, batch size, etc.)
- API integration guide for your application
What We Need From You
Perfect For
Legal Firms
Train on case law, contracts, and precedents. Your AI understands your jurisdiction's nuances.
Medical Research
Ingest clinical trials, research papers, and patient data. HIPAA-compliant training.
Enterprise Knowledge
Your company's documentation, policies, and institutional knowledge in one AI brain.
Why Our Training Works Better
Massive Context Windows
Train with 100k+ tokens at once. Most providers cap at 8k-32k, forcing you to chunk your data and lose connections.
QLoRA on 70B Models
Fine-tune massive models that normally require expensive cloud clusters. We do it for a fraction of the cost.
Weekend Turnaround
Most fine-tuning takes weeks. Our infrastructure completes training in 48-72 hours.
Your Data Stays Private
Unlike cloud providers, your training data never leaves our secure infrastructure. Full NDA protection.
Investment Tiers
One project fee. Includes training, validation, and deployment support.
Starter
Small-scale fine-tuning
- Up to 13B parameter model (Llama 3 8B, Mistral 7B)
- 50k token context window during training
- 10-20 documents (PDFs, Word, text)
- QLoRA fine-tuning method
- 3-5 day turnaround
- Model weights + LoRA adapters
- Basic validation report
- Inference example code
Professional
Enterprise-grade training
- Up to 70B parameter model (Llama 3 70B, custom)
- 100k+ token context window during training
- 50+ documents (unlimited pages)
- Full fine-tuning or QLoRA (your choice)
- 48-72 hour turnaround
- Complete model weights + adapters
- Comprehensive accuracy testing (MMLU, custom evals)
- Training loss curves + metrics dashboard
- API deployment guide + Docker container
- 2 weeks post-launch support (bug fixes, tuning)
Enterprise
Maximum capability
- 70B+ parameter models (any size)
- Unlimited context window capacity
- Unlimited documents (full knowledge base)
- Multi-domain training (legal + medical, etc.)
- Priority processing (24-48 hour turnaround)
- Full model weights + all adapter variants
- Custom evaluation framework
- Production-grade API + load balancing
- Full deployment support (cloud or on-prem)
- 90-day optimization period (retraining if needed)
- Dedicated support channel (Slack/Discord)
Try Model Training
Experience AI model training with long-context memory.