FORGE Fine-Tuning
Precision adaptation of open-source LLMs to mission data, domain constraints, and structured output requirements.
Overview
FORGE Fine-Tuning adapts open-source LLMs to your mission data with LoRA, QLoRA, and full supervised fine-tuning. We focus on data quality, sparse-data optimization, and structured outputs so models behave predictably in real-world environments.
We support long-context training, domain terminology, and specialized output schemas for defense, enterprise, and regulated industries. The result is a production-grade model tuned for the systems you already operate.
What you get
- Model selection aligned to mission constraints
- Data assessment, cleaning, and preparation
- LoRA, QLoRA, or full SFT training
- Structured output and schema alignment
- Evaluation for accuracy, bias, and drift
- Deployment packaging and handoff
Capabilities
- Fine-tune Llama 3, Qwen, and other open models
- Long-context training up to 100k tokens
- Structured outputs: JSON, SQL, code, and custom schemas
- Domain terminology and style alignment
- Sparse-data optimization for limited datasets
- Evaluation pipelines with mission metrics
Technical specs
| Training modes | LoRA, QLoRA, Full SFT |
| Data readiness | Optimized for 10x less training data |
| Compute | 8 to 512 GPU clusters |
| Security | On-prem or air-gapped options |
| Outputs | Structured formats and domain style |
| Typical timeline | 3 to 6 weeks |
Pipeline placement
Fine-tuning anchors the FORGE pipeline. We start with data assessment and supervised training, then connect to alignment, distillation, and deployment services as needed.
Ideal for
- Organizations with proprietary data and domain expertise
- Programs that need structured outputs or long context
- Teams seeking measurable performance gains on mission tasks
- Deployments where data quality is a constraint
Use cases
Tailored fine-tuning for defense, enterprise, and regulated domains.
Defense intelligence
Threat assessment models tuned for sparse data, operational language, and classified constraints.
Financial risk
Risk models aligned to firm-specific patterns and regulatory requirements.
Healthcare operations
Clinical assistants tuned to hospital data and local practice guidelines.
Ready to fine-tune for mission success?
Start a FORGE fine-tuning engagement and deploy models that perform in the real world.