walidboulanouar / awesome-jev-use-cases
Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+ GitHub repos, limits, cost and API examples. CC0
walidboulanouar / awesome-jev-use-cases
harrrshall / barunlm-35m
BarunLM-35M: a parameter-efficient 35M base language model trained on 5.7B tokens
microsoft / PhiCookBook
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
shubham0204 / SmolChat-Android
Running any GGUF SLMs/LLMs locally, on-device in Android
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.
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.
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