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AI Infrastructure2025-2026
LLM Fine-tuning Pipeline
Custom Llama 70B Fine-tuning Infrastructure
70B
Parameters
QLoRA
Efficient Training
4x A100
Distributed
Custom
Domain Models
Overview
Production-grade LLM fine-tuning infrastructure for Llama 70B and other large models. QLoRA, PEFT, and distributed training across multiple GPUs with automated evaluation.
Project Stats
Duration45 days
The Problem
Fine-tuning large models like Llama 70B requires specialized infrastructure, massive compute, and deep expertise. Most organizations lack the capability to customize foundation models for their specific domain.
Our Solution
End-to-end pipeline handling data preparation, training configuration, distributed fine-tuning, evaluation, and deployment. Supports QLoRA for efficient training on limited hardware.
Development Timeline
Project Workflow
Data Preparation
1 week
Data collection & cleaning
Format conversion
Quality filtering
Train/val split
PythonPyTorchTransformersPEFTQLoRADeepSpeedWeights & BiasesvLLMCUDA
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