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LLaMA family models adapted for on-prem, private cloud, or controlled SaaS with transparent licensing paths. We help you pick sizes, quantize for hardware, and tune for domain vocabulary without sacrificing stability.
Comprehensive solutions tailored to your business requirements
Evaluate LLaMA 2/3 variants against your throughput, latency, and memory constraints to select the optimal model size and quantization level.
LoRA, QLoRA, and full fine-tuning pipelines with curated datasets, instruction tuning, and evaluation gates for your specific domain.
Production inference stacks using vLLM, TGI, or custom serving with batching, KV-cache optimization, and autoscaling on your infrastructure.
Secure deployment patterns for restricted environments with offline model delivery, signing, and monitoring without external dependencies.
Full data sovereignty with self-hosted open-weight models
No per-token API costs—predictable infrastructure spend
Domain-adapted models that outperform generic APIs on your tasks
Air-gapped deployment options for regulated industries
Transparent licensing with Meta's open-weight terms
Hardware-optimized inference for maximum throughput per dollar
Complete control over model updates and versioning
It depends on the model size. Quantized 7B/8B models can run on a single consumer GPU or even CPU for low-throughput use cases. For production workloads with 70B+ models, we recommend dedicated GPU infrastructure—cloud or on-prem—and help you right-size the cluster.
Meta's LLaMA models are released under a community license that permits commercial use for most organizations. We review your specific use case against the license terms and document compliance as part of the engagement.
Absolutely. Fine-tuning runs on your infrastructure or isolated cloud instances. We implement data access controls, training audit logs, and model provenance tracking so your proprietary data stays under your control.
We combine deep technical expertise with a product-first mindset to deliver solutions that work in the real world.
Seasoned engineers across blockchain, AI & web
200+ projects delivered globally
From discovery to production & beyond
