The Elixirs Lab Work with us

Research

Notes and findings from work in progress.

We publish selected research as we ship. Topics span quantitative finance, ML systems, and the practical engineering challenges that come with both.

PAPER 004 OCTOBER 2025 · PUBLISHED

RAG on the edge — Llama-3.1 8B + OpenVINO INT4 quantization for document Q&A.

A complete retrieval-augmented generation system pairing Llama-3.1 8B Instruct with Intel's OpenVINO GenAI toolkit. INT4 quantization cuts model size by 73% with under 5% quality loss; FAISS-GPU vector search and a heterogeneous Intel-plus-NVIDIA pipeline give 2–5 second query latency on a single workstation, with no cloud dependency.

  • RAG
  • Quantization
  • OpenVINO
  • Llama
  • Edge inference
Read →
PAPER 001 MAY 2026 · DRAFT

Regime detection in illiquid frontier markets.

We propose a Hidden Markov Model approach to detect regime shifts in markets where standard volatility-clustering signals are unreliable due to thin trading. Tested across NGX, NSE, and BVMW.