What are the hardware requirements for MiniCPM OCR Jev AWQ?

MiniCPM OCR Jev AWQ requires approximately 2.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniCPM OCR Jev AWQ and how large is it?

MiniCPM OCR Jev AWQ is developed by openbmb, a model with 2.2b 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 MiniCPM OCR Jev AWQ?

MiniCPM OCR Jev AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniCPM OCR Jev AWQ by openbmb — VRAM 2.4GB

Name: MiniCPM OCR Jev AWQ
Author: openbmb

MiniCPM OCR Jev AWQ is an open-source language model by openbmb. Features: 2.2b LLM, VRAM: 2.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.34.

4-bit Awq Base model:openbmb/minicpm-ocr... Base model:quantized:openbmb/m... Compressed-tensors Conversational En Image-text-to-text Minicpm-ocr Multimodal Ocr Quality-assessment Quantized Qwen3 5 Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/openbmb/MiniCPM-OCR-Jev-AWQ

MiniCPM OCR Jev AWQ Parameters and Internals

LLM Name	MiniCPM OCR Jev AWQ
Repository 🤗	https://huggingface.co/openbmb/MiniCPM-OCR-Jev-AWQ
Base Model(s)	openbmb/MiniCPM-OCR-Jev openbmb/MiniCPM-OCR-Jev
Model Size	2.2b
Required VRAM	2.4 GB
Updated	2026-10-30
Maintainer	openbmb
Model Type	qwen3_5
Model Files	2.4 GB
Supported Languages	en zh
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen3_5ForSequenceClassification
License	apache-2.0
Model Max Length	262144
Transformers Version	5.20.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
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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