OpenRaiser/Pager

Pager

This repository contains the model weights, tokenizer, processor, and configuration files for Pager, a vision-language model based on the Qwen3-VL architecture.

Files

The repository includes:

• —config.json
• —generation_config.json
• —tokenizer.json
• —tokenizer_config.json
• —vocab.json
• —merges.txt
• —special_tokens_map.json
• —added_tokens.json
• —preprocessor_config.json
• —video_preprocessor_config.json
• —chat_template.jinja
• —model.safetensors.index.json
• —model-00001-of-00004.safetensors
• —model-00002-of-00004.safetensors
• —model-00003-of-00004.safetensors
• —model-00004-of-00004.safetensors

Usage

Install dependencies:

pip install -U transformers accelerate safetensors pillow

Load the model:

import torch
from transformers import AutoProcessor, AutoModelForImageTextToText

model_id = "OpenRaiser/Pager"

processor = AutoProcessor.from_pretrained(
    model_id,
    trust_remote_code=True
)

model = AutoModelForImageTextToText.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto",
    trust_remote_code=True
)

print("Model loaded successfully.")

If your local transformers version does not support this model class, please upgrade transformers first.

Notes

• —The model weights are stored in four .safetensors shards.
• —model.safetensors.index.json maps model parameters to the corresponding weight shards.
• —This repository is intended for research and development use.

Citation

If you use this model, please cite or link to this repository:

https://huggingface.co/OpenRaiser/Pager