harrrshall / barunlm-35m
BarunLM-35M: a parameter-efficient 35M base language model trained on 5.7B tokens
harrrshall / barunlm-35m
jrz97619761 / test-model-thing
A small proof-of-concept language model (not an LLM) that aims to incorporate latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.
tardellirs / gemma3moe-builder
Sparse-upcycle a dense Gemma-3-270m into a Mixture-of-Experts (gemma3moe) and serve it on llama.cpp (CPU). Upcycle, train, inspect routing, GGUF.
ankit-aglawe / tinyjev
A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.
webis-de / small-text
Active Learning for Text Classification in Python