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Implementation of GPT-2 in pure CMake

AlpinDale released gpt2.cmake, an implementation of OpenAI's GPT-2 language model written entirely in CMake, using Q16.16 fixed-point integer arithmetic to run inference without floating-point operations. The project, licensed under BSD 3-Clause, loads the GPT-2 model from Hugging Face and generates text via CMake scripts, as demonstrated with the command 'cmake -P gpt2.cmake -DPROMPT="Hello" -DN=2'.

read1 min views1 publishedAug 23, 2026
Implementation of GPT-2 in pure CMake
Image: Michielbdejong (auto-discovered)

GPT-2 in pure CMake, executed with Q16.16 integer arithmetic.

mkdir -p checkpoint
curl -L -o checkpoint/model.safetensors https://huggingface.co/openai-community/gpt2/resolve/main/model.safetensors
curl -L -o checkpoint/vocab.json      https://huggingface.co/openai-community/gpt2/resolve/main/vocab.json
curl -L -o checkpoint/merges.txt      https://huggingface.co/openai-community/gpt2/resolve/main/merges.txt
python3 tools/gen_full.py
cmake -P gpt2_full.cmake -DPROMPT="Hello" -DN=2
python3 tools/gen_tables.py
python3 tools/gen_model.py
cmake -P gpt2.cmake

BSD 3-Clause. See LICENSE.

Name Name Last commit date

GPT-2 in pure CMake, executed with Q16.16 integer arithmetic.

␃WPNCODE0␃

␃WPNCODE1␃

BSD 3-Clause. See LICENSE.

source & further reading
github.com — original article Ducklab – dev harness that built itself: 416 runs, $176, local models Henka: Multi-tenant MCP server for structured, semantics-aware code refactorings Show HN: Writing-eval, local deterministic style checks for AI-written drafts
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