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A small model designed to summarize the reasoning traces of coding agents, helping improve interpretability and efficiency.
SupraLabs released SupraSafety-18M, a tiny 18M-parameter BERT-style content moderation model trained on NVIDIA's Nemotron-3.5 dataset. It achieves 81.2% accuracy and runs efficiently on edge devices.
The paper introduces VGB, a process-guided sampling algorithm with probabilistic backtracking, which significantly improves coding performance on tiny 0.5B models by being robust to verifier errors.
Inflect-Nano-v1 is a tiny English text-to-speech model with 4.63M total inference parameters, including its vocoder, designed for local, efficient speech synthesis experiments.
Built a repository to train a tiny language model (25M parameters) from scratch on 8GB VRAM, with support for MTP but noting limitations of mHC and BitNet.