Test Lila end-to-end conversation

Make Little Fig Studio UI fully mobile responsive

Check if Little Fig UI is mobile responsive

Check and fix mobile responsiveness

Fix Colab: embed UI inline + use cloudflared tunnel (no auth needed)

Fix Colab: use Colab's native port output instead of ngrok

Fix Colab install: use [train] not [full], embers-diaries not on PyPI

Fix Colab: spin up Little Fig Studio UI, not hardcoded training

Clean up repos: remove MIT references, remove Lila mentions, AGPL only

Verify and clarify novel contributions in paper + fix Colab

Novel GPU memory reduction experiments

CogMemBench paper for Kaggle + GPU memory reduction experiments

GPU memory experiment + CogMemBench on real model

Update paper + README with final GPU results, fix Colab, research GPU memory reduction

Fix engine compilation errors

Test engine compilation

FigQuant GPU training test (with dtype fix)

Fix lowram backward dtype bug + AGPL licenses + rerun GPU test

Fix FigQuant GPU benchmark (use figcache mode) + test engine conversion

Engine Phase 3: Complete format converter + BPE tokenizer + kernel wiring

Engine Phase 2: Full transformer forward pass + tokenizer + attention

Engine Phase 1b: AVX2 vectorized matmul + RMSNorm kernels

Lila Engine Phase 1: Foundation — matmul kernel + model loader + token generation

Full GPU benchmark including FP32 quant quality test

Training-only GPU benchmark (skip FP32 quant quality — already proven on CPU)

Lila inference engine build plan + fix LilaCore

Lila restructure script

GPU benchmark script (fixed for PyTorch 2.11)

Update ML Intern artifact metadata

initial commit