garamp_mistral_7b — Question Generation Task

Is this run manual or automatic?: automatic
Is this run based on the provided starter kit?: no
Briefly describe this run: Zero-shot with Mistral-7B-Instruct-v0.3. We create ~30 candidates/topic under strict formatting/length rules and remove compound questions, then pick the final 10 via TF-IDF MMR (α=0.7). Seed=42.
What other datasets or services (e.g. Google/Bing web search, ChatGPT, Perplexity, etc.) were used in producing the run?: None beyond the HF model/tokenizer and scikit-learn. No web search or external APIs.
Briefly describe LLMs used for this run (optional): Mistral-7B-Instruct-v0.3; temperature=0.4, top_p=0.85, do_sample=True, no_repeat_ngram_size=4, repetition_penalty=1.1. TF-IDF cosine + MMR (α=0.7). No additional training.
Please give this run a priority for inclusion in manual assessments.: 5 (bottom)