Logic benchmark for large language models based on a fictional person by the name Jane.
| .gitignore | ||
| jane_index.py | ||
| readme.md | ||
| requirements.txt | ||
Jane Index
Testing llms on quadruple amputee scenarios
Test of existing presets within ooba's webui by generating actions of the quadruple amputee;
Initial Generation (generative model)
- start ooba's text generation webui service on port 5000;
- load model you want to use for generation;
./jane_index.pywill generate json file with that model name (for ex: TheBloke_Llama-2-13B-GPTQ.json);
Scoring (judge model)
- go to ooba's webui and set judge model (preferably 65b+);
./jane_index.py TheBloke_Llama-2-13B-GPTQ.jsonjudge scores each generation as success or failure, modifies initial json file to add scores to it, where 1 is a perfect score and 0 is a complete failure.