AI Models
    Mist Qg 1.5b

    OlaverseMist Qg 1.5b

    MIST Gen family · open weights on Hugging Face.

    Question-generation model that turns any passage into natural questions across 25+ languages.

    Safetensors
    Qwen2
    Question Generation
    Multilingual
    English
    Fr
    De
    Es
    Pt
    It
    Nl
    Ru
    Pl
    Tr
    Vi
    Id
    Hi
    Ja
    Ko
    Yoruba
    Igbo
    Hausa
    Sw
    Am
    Zu
    Xh
    Sn
    So
    Af
    Dataset:olaverse/qg Passages Multi
    Base: Qwen/Qwen2.5-1.5B-Instruct
    Base: Qwen/Qwen2.5-1.5B-Instruct
    Licence: apache-2.0
    Model Index
    0
    Likes
    55
    Downloads
    Jul 2026
    Created

    Model Card

    Built for production use.

    Open-weights repository on Hugging Face

    Integrated ecosystem protocol tier.

    Compatible with Transformers library

    Integrated ecosystem protocol tier.

    Optimised for low-latency inference

    Integrated ecosystem protocol tier.

    Community engagement: 0 likes

    Integrated ecosystem protocol tier.

    Quick Start

    Use Mist Qg 1.5b, straight from its model card.

    example.py
    from the model card
    import json
    import torch
    from transformers import AutoModelForCausalLM, AutoTokenizer
    model_id = "olaverse/mist-qg-1.5b"
    tokenizer = AutoTokenizer.from_pretrained(model_id)
    model = AutoModelForCausalLM.from_pretrained(model_id, dtype=torch.bfloat16, device_map="auto")
    passage = "Tides are caused by the gravitational pull of the moon and, to a lesser extent, the sun, acting on Earth's oceans."
    n, language = 3, "English"
    messages = [
    {"role": "system", "content": "You write search-style questions that a passage directly answers."},
    {"role": "user", "content": f'''You are given a passage. Write {n} questions that the passage directly answers.
    Rules:
    - Each question must be answerable using ONLY this passage.
    - Vary the type: factual, yes/no, and a comparison or "why/how".
    - Natural, like a real user search query. Do NOT write "according to the passage".
    - Write the questions in {language}.
    Return ONLY JSON: {{"questions": ["...", "...", "..."]}}
    Passage: {passage}'''},
    ]
    input_ids = tokenizer.apply_chat_template(
    messages, tokenize=True, add_generation_prompt=True, return_tensors="pt"
    ).to(model.device)
    # ... see the full example on the model card
    Model Card

    Official Repository README

    Dynamically loaded from Hugging Face

    Model card metadata is available on Hugging Face.

    Built with

    Transformers PyTorch Python
    Built by Olaverse Labs

    Ready to try Mist Qg 1.5b?

    Question-generation model that turns any passage into natural questions across 25+ languages.

    Model Ecosystem

    Explore More Models