LLM Fine-Tuning Infrastructure

Train and fine-tune open-source LLMs efficiently — from LoRA on a single GPU to distributed full fine-tuning across multi-node clusters.

When to Use This Skill

Use this skill when:

• Fine-tuning an LLM on domain-specific data (legal, medical, code, support)
• Running QLoRA to fine-tune 70B models on consumer GPUs
• Setting up distributed training with DeepSpeed or FSDP
• Exporting fine-tuned adapters for production serving
• Implementing RLHF, DPO, or instruction tuning pipelines

Prerequisites