kouhxp / gutsy

Local decision model with calibrated probabilities: send a state and yes/no, choice or score questions, get a probability for every option. 0.8B GGUF on CPU, Jev-style API.

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.

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.

shubham0204 / SmolChat-Android

Running any GGUF SLMs/LLMs locally, on-device in Android

webis-de / small-text

Active Learning for Text Classification in Python