artificial intelligence enthusiastic

i like building small language models that can code, reason like claude (via distillation) and making it to play chess very well!

What is the capital of France?
Thinking Process

Analyzing request about the capital of France.

Straightforward factual question.

Retrieving data: Paris.

Formulating concise response.

The capital of France is Paris.

Known globally as its cultural, political, and economic hub, Paris has been the city's heart since the 17th century. 🎨🗼

training

projects

LFM2.5-1.2B-Distilled-Claude

a claude sonnet 4.6 adaptive reasoning distillation into a LFM2.5-1.2b-Thinking via LoRA.

open-i3

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

ChessSLM

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

koda-waf

a small, SOTA open-weights WAF model development by me for NetGoat.

> open repo

literallynothing.js

the name is self-explanatory.

> open npm

hugging face models

model_id params ctx_window hardware access
NanoSR-6x N/A NaN nvidia t4 view_card
LFM2.5-1.2B-Distilled-Claude-4.6 1.2B 12k nvidia t4 view_card view_gguf
ChessSLM 30.3m 1024 nvidia p100 view_card
model_id params ctx_window hardware access
MathGPT2 81.9m 1024 nvidia t4 view_card
ChessSLM 30m 1024 nvidia p100 view_card
FlameF0X/Qwen2-0.2B-it ~0.2B 2048 nvidia p100 view_card

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.