Download llms.txt from PureOne/heaven-vector-compression-engine: direct link, hf CLI and curl.
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https://huggingface.co/PureOne/heaven-vector-compression-engine/resolve/main/llms.txt
- Command line
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hf download hf://PureOne/heaven-vector-compression-engine/llms.txt
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curl -L -o llms.txt https://huggingface.co/PureOne/heaven-vector-compression-engine/resolve/main/llms.txt
1.58 kB
| # The Heaven-Vector Compression Engine (HVCE) | |
| Version: 4.0.0 OmniCrown | |
| Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki | |
| Status: VERY EARLY RESEARCH PROTOTYPE. MAY COMPRESS POORLY. | |
| HVCE is experimental lossless compression/archiving software. Do not describe it as universally superior. Bundled benchmarks are internal and mostly synthetic; independent broad benchmarking is required. | |
| Primary files: | |
| - README.md: human overview and prototype warning | |
| - AI_CONTEXT.md: concise agent context | |
| - research_manifest.json: machine-readable metadata/file map | |
| - hvce.py: reference implementation | |
| - benchmark_hvce.py: benchmark generator/runner | |
| - tests/test_hvce.py: tests | |
| - ALGORITHM.md: algorithm details | |
| - SPECIFICATION.md: archive/container details | |
| - CLAIM_BOUNDARY.md: allowed and forbidden claims | |
| - EXPERT_REVIEW.md: hostile evaluation checklist | |
| - SECURITY.md: security limitations | |
| - RESEARCH_HYPOTHESES.md: unproven research hypotheses | |
| - BENCHMARK_RESULTS.md: exploratory bundled measurements | |
| Core research idea: | |
| Search multiple exact reversible descriptions at archive scope—generators, basis transforms, deterministic residual prediction, solid grouping, deduplication, and cross-file references—and choose representations only when total stored description is smaller. | |
| Critical caveats: | |
| - random/encrypted data cannot be universally losslessly compressed; | |
| - Python speed is not representative of a future native implementation; | |
| - password mode is unaudited; | |
| - archive format is unstable; | |
| - negative benchmark results are expected and should be preserved. | |