artificial intelligence architect

i build robust pipelines, train sota models, and open-source the future. my work bridges the gap between complex ml theory and usable, functional applications.

const status = {
  active: true,
  training: ["i3-1B-Ethan", "i3-Pocket"],
  uptime: "99.9%",
  location: "remote"
};

// current task
optimize(i3_architecture);
active_training_sequence
gpu_utilization 84%

selected projects

i3-lab

state-of-the-art pre-training language model pipeline. efficient, scalable, and built for experimentation.

[collection] [hf space]

open-i3

the open-source release of the i3 architecture. promoting transparency in ai development.

[github repo]

ChessSLM

small language models trained exclusively to play chess. available variants: base, rl, neo, and nano.

i3-papers

documentation & official research papers. technical specifications and architectural overviews.

literallynothing.js

npm package that does exactly what it says. 0 bytes of utility. functional minimalism at its absolute limit.

hugging face models

model_id params ctx_window hardware access
i3-4096ctx ~300m 4096 nvidia p100 view_card
i3-200m v2.0 ~200m 2048 v100 view_card
i3-80m ~80m 1024 legacy view_card
i3-22m ~22m 512 legacy view_card
more to be presented soon...

technical capability stack

01. language python 3.10+
02. framework pytorch / cuda
03. distribution huggingface
04. processing hf datasets

fuel the research

computing power is the primary constraint. if my models aided your development, consider supporting the next training sequence.