Pi 5 On-Device Fine Tuning Research Kit
Raspberry Pi 5 Edge AI Research Kit: Fine-Tune 1B LLMs Locally with QLoRA
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Bring large language model research to the edge. This kit empowers you to fine-tune a 1B parameter LLM entirely on a Raspberry Pi 5, using quantization-aware QLoRA to slash memory requirements. From data preparation to model evaluation and deployment, you’ll run the full MLOps pipeline on a silent, low-power device—no cloud credits, no privacy concerns.
What You’ll Build
You’ll build a functional on-device fine-tuning pipeline that takes a base 1B LLM, applies LoRA adapters, and trains it on your custom dataset stored on NVMe. The trained model can then run inference locally for chat, code generation, or domain-specific tasks—all on a device that fits in your palm.
What You’ll Learn
- Quantize and load a 1B parameter model using 4-bit QLoRA to fit within Pi 5’s memory constraints
- Prepare and preprocess text datasets for fine-tuning on edge hardware
- Configure and optimize NVMe SSD throughput for low-latency model training
- Evaluate model perplexity and deploy the fine-tuned adapter for real-time inference on the edge
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| NVMe SSD 512GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Ideal for advanced engineering students (B.Tech CSE/ECE, M.Tech AI) at IITs, NITs, VIT, BITS Pilani, and participants in Smart India Hackathon tackling edge AI challenges. Also perfect for AI researchers prototyping on-device training for LLMs without cloud dependency. If you’ve already built basic projects on the Pi and want to push its limits in machine learning, this is your next step.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We’ve spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code to chat with the AI companion trained on this exact kit; it can debug errors, suggest tweaks, and guide you through each step. If you need human help, reach us via WhatsApp.
Can I fine-tune a different model, like Llama 3.2 3B, on this kit?
The kit is optimized for 1B parameter models due to Pi 5’s 8GB RAM constraint, but you can experiment with smaller models. For 3B models, you’d need aggressive quantization and may hit swap limits—our AI companion can help you assess feasibility.
Does this kit include a pre-loaded OS or software?
No, you’ll flash Raspberry Pi OS yourself and install dependencies as part of the learning process. The AI companion provides step-by-step software setup instructions, so you’ll be training within hours.
LoRA fine-tuning of a 1B parameter LLM on Pi 5 NVMe using QLoRA — full train, evaluate and deploy pipeline on edge hardware.
What's in this kit
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items