Q4_0 weights, streaming tokens, and a clean UI. Runs entirely in the browser. Includes prompt templates, token heatmap, and memory toggle. Replace this text with your project's description.
Hey, I'm Milk. Im an AI developer, programmer, and beginner robotics engineer.
14 years old. I love learning new things. I enjoy taking basic ideas and polishing them until they're fun to use.
What I'm into
Model distillation/training tiny LLMs, on-device inference, creative tools (attempting image rec/vision), and playing video games.
1
years studying AI/ML
0
open repos
2
years of programming
Currently
- Training a keyword spotter that runs fully offline in the browser (WebGPU).
- Prototyping a JS UI for quantized chat models via WebAssembly.
- Porting an MNIST toy to C# + ONNX for Windows desktop.
Featured Work
Some of the builds I'm not embarrassed by. Source where I can share it.
Fast style transfer with pre-baked AdaIN models. Batch stylize in seconds; demo UI supports drag-drop images, GPU detect, and before/after scrub. Replace this description with yours.
Stack & Skills
The tools I actually use.
JavaScript / TypeScript
UI, WASM glue, WebGPU experiments
Python
PyTorch, data pipelines, notebooks
C#
Desktop apps, ONNX interop
ML Ops (lightweight)
Weights & Biases, DVC, Docker
Design / UX
Layout, motion, accessibility
Socials
Hit me where you want — code, threads, or DMs. Links below.
Direct Links
Elsewhere