Author

Thang Tran

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#small language model Preprint Sep 2026

Pretraining and adapting a language model on a dependency-free stack: GPT-2 124M from random weights, reproduced against llm.c, and a clinical adapter for Qwen3-0.6B

Almost every language model in service was trained by one family of software. That concentration makes a question hard to settle: how much of what is known about training a language model describes language models, and how much describes that software? Settling it needs a second implementation able to carry a model thr...

Thang Tran, Lan Dang · 0 citations

#machine learning Preprint Sep 2026

Numbat: Building and Verifying a Self-Contained Machine-Learning Stack

This work reports on the construction and verification of numbat, a machine-learning stack written in one general-purpose language (Zig) with no third-party runtime dependencies, and treats a widely used reference implementation as an executable specification and verify against it at five levels.

Thang Tran, Lan Dang · 2 citations

#software testing Preprint Aug 2026

Cross-Stack Validation of Language-Model Training: A Clinical Fine-Tuning Case Study

Whether independently implemented training stacks can serve as differential oracles for a whole fine-tuning pipeline, rather than the operators and inference paths that prior differential testing targets, is studied.

Thang Tran, Lan Dang · 3 citations · ⚡1