GitHub - alebeck/rhymesum: Hash files into LLM-generated poems locally · GitHub
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alebeck
rhymesum
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Folders and files<br>NameNameLast commit message<br>Last commit date<br>Latest commit
History<br>4 Commits<br>4 Commits
blake3
blake3
llama
llama
.gitignore
.gitignore
Makefile
Makefile
README.md
README.md
compile_flags.txt
compile_flags.txt
download_model.sh
download_model.sh
main.cpp
main.cpp
words.cpp
words.cpp
words.h
words.h
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rhymesum -- Hash files into LLM-generated poems locally
Note: This is a toy project and far from cryptographically safe, better don't use it in production.
What is this?
This project lets you fingerprint your files using LLM-generated poems instead of hard-to-remember checksums. It computes a BLAKE3 hash of the passed file, and based on that injects entropy in both the LLM sampler as well as the prompt itself. The output is a five-line poem representing a fingerprint of your file.
Example outputs
In twilight's hush, a phantom sloped<br>Across the meadow's trembling rim<br>A fleeting yodel echoed clear<br>As moonlight danced and stars drew near<br>In darkness's silence, all was grim
In a lovely abode I rest my head<br>Behind an ancient obelisk I softly tread<br>In the still of night a player draws near<br>She shakes her tambourine and whispers sweet cheer<br>The stars above twinkle with gentle delight
Build
Build with make, then download meta-llama-3.1-8b-instruct-q4_0.gguf model using bash download_model.sh.
Run
">rhymesum
Credits
This project builds heavily on llama.cpp
About
Hash files into LLM-generated poems locally
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Languages
C++<br>52.3%
21.3%
Assembly<br>9.8%
Cuda<br>6.9%
Metal<br>6.4%
Objective-C<br>2.4%
Other<br>0.9%
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