Ilia's Corner

bitnet.cpp – Run 100B-Parameter LLMs on Your Laptop, Zero GPUs Required

Imagine running a model the size of GPT-3 on the same MacBook you use for email. Microsoft's BitNet engine does exactly that by squeezing every weight down to just +1, 0, or –1. Translation: you can prototype, fine-tune, or ship private AI features without cloud bills, vendor lock-in, or GPU hunting. Clone it, compile, and go—your laptop just became a mini data-center. https://github.com/microsoft/BitNet

GitHub Trending · 4 min read

n8n Self-Hosted AI Starter Kit – A One-Line Command to Own Your AI Stack

Spin up n8n + Ollama + Qdrant + Postgres in under five minutes with a single Docker Compose file. You get a visual workflow builder, local model serving, vector search, and Postgres persistence—perfect for hacking on RAG, chatbots, or internal tools without leaking data to SaaS APIs. https://github.com/n8n-io/self-hosted-ai-starter-kit

reddit · 3 min read

AIRI – Self-Host Your Own VTuber That Plays Games and Talks Back

Tired of walled-garden VTuber services? AIRI packages Live2D/VRM avatars, voice synthesis, vision, and LLM reasoning into a 100 % open-source stack you can run at home. Great for community events, brand streams, or just showing off your dev chops with a talking fox. https://github.com/moeru-ai/airi

reddit · 4 min read

Epicenter – MIT-Licensed Desktop AI Transcription & Chat

Drop-in replacement for closed transcription and chat apps. One repo gives you desktop-grade UX, offline speech-to-text, and LLM chat—perfect for teams that want AI features without handing recordings to third parties. https://github.com/epicenter-so/epicenter

reddit · 5 min read

Zedless – Zed Editor Without the Cloud Phone-Home

Zed is fast, but it phones home. Zedless surgically removes telemetry, crash reporting, and account requirements while keeping the multiplayer magic and Rust performance. Ideal for air-gapped environments or privacy-first teams. https://github.com/zedless-editor/zed

hackernews · 3 min read

DeepSeek-V3.1 – One 671B Model, Two Behaviors

A single checkpoint that flips from speedy cache-friendly answers to deep chain-of-thought reasoning on demand. Fewer models to host, lower infra costs, and no juggling between fast vs. accurate deployments. https://huggingface.co/deepseek-ai/DeepSeek-V3.1

Large Language Models

Python · 126 stars

Gemma 3 270M in Pure PyTorch – Tinker on Your GPU

Sebastian Raschka distilled the 270 M version of Google’s Gemma-3 into plain PyTorch so you can step through the code or fine-tune on a single consumer GPU. Great educational repo for anyone who wants to demystify modern LLM internals. https://github.com/rasbt/LLMs-from-scratch/tree/main/ch05/12_gemma3

Learning

Python · 66 stars

Crystal AI CWIC – Pay-Per-Token Compute Budget

Teach your model to spend FLOPs only where they matter. CWIC gates attention and MLP layers token-by-token, cutting average costs by up to 45 % on long contexts without hurting accuracy. Drop-in for any transformer. https://crystalai.org/blog/2025-08-18-compute-where-it-counts

Efficiency

Python · 22 stars

PlutoPrint – Turn HTML into Print-Ready PDFs or PNGs

Need crisp, programmatically-generated PDFs for invoices, reports, or certificates? PlutoPrint wraps wkhtmltopdf and Playwright into a clean Python API—deployable as a micro-service or inside your Flask/Django app. https://github.com/plutoprint/plutoprint

Developer Tools · Show HN · 3 min read

DINOv3 + Test-Time Training – One Model, Any Medical Scanner

Skip weeks of retraining for every new hospital scanner. This trick takes an off-the-shelf vision foundation model and adapts on the fly with a few test images, hitting 96 % registration accuracy across modalities. https://arxiv.org/abs/2508.14809

Computer Vision · Medical Imaging Lab · 5 min read

TransLLM – One LLM Backbone for All Urban Mobility Tasks

Traffic forecasting, EV-charging demand, and taxi dispatching collapse into a single LLM-driven backbone. Less code to maintain, better zero-shot generalization, and cleaner MLOps for city planners. https://arxiv.org/abs/2508.14782

Urban Tech · Urban AI Group · 4 min read