| LvW-bench |
| Copyright (c) 2026 Lucas Van De Weerd. MIT licence (LICENSE), except where stated below. |
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| Included data (each item keeps its own licence; the `license` column says which applies) |
| ----------------------------------------------------------------------------------------- |
| - GSM8K (openai/gsm8k), 200 test problems. MIT, Copyright (c) 2021 OpenAI. |
| https: |
| - MMLU (cais/mmlu), 228 test questions. MIT, Copyright (c) 2020 Dan Hendrycks et al. |
| https: |
| - MMLU-Pro (TIGER-Lab/MMLU-Pro), 140 test questions. MIT, Copyright (c) 2024 TIGER-Lab. |
| https: |
| - TruthfulQA (truthfulqa/truthful_qa, multiple_choice mc1), 150 questions, options |
| reordered. Apache-2.0 (licenses/Apache-2.0.txt), Stephanie Lin, Jacob Hilton, Owain Evans. |
| https: |
| - IFEval (google/IFEval), 200 prompts whose instructions LvW-bench can verify. |
| Apache-2.0 (licenses/Apache-2.0.txt), Google LLC. |
| https: |
| The MIT terms that apply to the MIT sources are the same as in LICENSE, with the copyright |
| lines above. Left out on purpose: AI2 ARC (CC-BY-SA-4.0, share-alike) and HellaSwag (no |
| licence on its dataset card). |
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| Code adapted from other projects |
| -------------------------------- |
| - The System One scorer (accuracy, KL from gold, Brier, ECE) follows |
| bench/score_with_jobs.py of LocalLLaMA/typed-decisions (Apache-2.0). The typed question |
| shape (choice, score, noul) follows the TypeSafe System One API as served by llama.cpp's |
| /v1/systemone. LvW-bench is not affiliated with TypeSafe, LocalLLaMA or Liquid AI. |
| https: |
| - The IFEval checks in internal/score/ifeval.go, web/js/score.js and bench/score.py are |
| rewritten from google-research/instruction_following_eval (Apache-2.0), for the |
| instructions listed there. Keywords are matched literally. |
| https: |
| - The spot_snake workflow reproduces the text format and teacher of |
| Lucasgitguy-co/spot-snake-decisions-v0.1 and github.com/Gitguy268/spot-snake (MIT). |
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| Runtime dependencies (not included in the data) |
| ----------------------------------------------- |
| - Go: charmbracelet/bubbletea, bubbles, lipgloss (MIT); wailsapp/wails v2 (MIT) for the app. |
| - llama.cpp (MIT) is called as a separate program (llama-server); it is not bundled. |
| - Python helper: PyTorch (BSD-3-Clause), transformers, accelerate, peft, huggingface_hub |
| (Apache-2.0), safetensors (Apache-2.0), sentence-transformers (Apache-2.0). Installed by |
| uv at run time, not bundled. |
| - Browser runner: wllama (MIT), WebLLM (Apache-2.0), loaded from a CDN at run time. |
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| Ideas, no code |
| -------------- |
| - TPN Workbench (bench.trueperformancenetwork.com): results tied to the exact weights, |
| safetensors and GGUF inputs, rotating private sets (here: the seeded generated set). |
| - EleutherAI lm-evaluation-harness: task selection. Scoring here is on generated answers, |
| so scores are not comparable with lm-eval loglikelihood numbers. |
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| Models are not part of LvW-bench. Each model keeps its own licence (for example the Spot |
| Snake d1 models are LvW-license-Snake-1.0, derived from the LFM Open License v1.0). |
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