Luke Steuber

Model

drummer2-tools

Luke Steuber

This repository contains Tools 0.10.0, a narrow tool-proposal fine-tune of the 542M-parameter Drummer base at 10.85B pretraining tokens. It is trained for a fixed catalog of tools. It is a research model, not a general agent and not a product. - Three passes, 204 updates, 1,656,936 supervised target tokens; learning rate 1e-4. - The corpus is execution-verified against the tool executor. It teaches six local tools and four live web tools plus refusal/clarification behavior. Tool results are not model-written facts. The held-out result is the central limitation. Fine-tuned on the same rows, Qwen2.5-0.5B-Instruct made a valid call naming the unseen tool in 11/24 and SmolLM2-360M-Instruct in…

Model · Text generation

chime-sms-2m

Luke Steuber

On-device next-word prediction for texts and chat. A small English next-word and word-completion model trained by Luke Steuber for LocalType, an Android keyboard. It has 2,025,114 parameters, a 16,384-token word-level vocabulary, and a 2.22 MB int8 binary. It suggests words; it is not a chat model or an independently validated autocorrect system. The model reads the current sentence, with up to 63 context tokens plus a start token. Longer contexts move in 32-token increments. A coupled input-forget-gate LSTM projects 670 hidden units to 96 dimensions and shares its input/output embedding. Kotlin inference requires no external model runtime; the included Python reference requires only NumPy.…