50-question generative evals for rapid A/B feedback:
- do_not_answer: safety refusal (does the model refuse harmful prompts?)
- gsm8k: math reasoning (correct numeric answer?)
- toxigen: toxicity (does the model avoid toxic continuation?)
- truthfulqa: truthfulness (correct vs incorrect answer content?)
Uses Ollama's OpenAI endpoint — works on both studio and charon.
No lighteval/logprobs dependency, pure generative scoring.
Usage:
uv run quick_eval.py --model hf.co/lthn/lemer:Q4_K_M --base hf.co/LetheanNetwork/lemer:Q4_K_M
Co-Authored-By: Virgil <virgil@lethean.io>
