What are the hardware requirements for MinerU2.5 Pro 2604 1.2B?

MinerU2.5 Pro 2604 1.2B requires approximately 2.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MinerU2.5 Pro 2604 1.2B and how large is it?

MinerU2.5 Pro 2604 1.2B is developed by opendatalab, a model with 1.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate MinerU2.5 Pro 2604 1.2B?

MinerU2.5 Pro 2604 1.2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MinerU2.5 Pro 2604 1.2B by opendatalab — VRAM 2.3GB, 32K context

Name: MinerU2.5 Pro 2604 1.2B
Author: opendatalab

MinerU2.5 Pro 2604 1.2B is an open-source language model by opendatalab. Features: 1.2b LLM, VRAM: 2.3GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.36.

Arxiv:2604.04771 Conversational En Endpoints compatible Eval-results Image-text-to-text Qwen2 vl Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/opendatalab/MinerU2.5-Pro-2604-1.2B

MinerU2.5 Pro 2604 1.2B Parameters and Internals

LLM Name	MinerU2.5 Pro 2604 1.2B
Repository 🤗	https://huggingface.co/opendatalab/MinerU2.5-Pro-2604-1.2B
Model Size	1.2b
Required VRAM	2.3 GB
Updated	2026-08-15
Maintainer	opendatalab
Model Type	qwen2_vl
Model Files	2.3 GB
Supported Languages	zh en
Model Architecture	Qwen2VLForConditionalGeneration
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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