What are the hardware requirements for PaddleOCR VL 1.6 4bit?

PaddleOCR VL 1.6 4bit requires approximately 0.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PaddleOCR VL 1.6 4bit and how large is it?

PaddleOCR VL 1.6 4bit is developed by mlx-community, a model with 905.6m 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 PaddleOCR VL 1.6 4bit?

PaddleOCR VL 1.6 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PaddleOCR VL 1.6 4bit by mlx-community — VRAM 0.7GB, 128K context

Name: PaddleOCR VL 1.6 4bit
Author: mlx-community

PaddleOCR VL 1.6 4bit is an open-source language model by mlx-community. Features: 905.6m LLM, VRAM: 0.7GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

4-bit 4bit Base model:paddlepaddle/paddle... Base model:quantized:paddlepad... Conversational Custom code Document-parsing Image-text-to-text Mlx Multimodal Ocr Paddleocr vl Quantized Region:us Safetensors Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/mlx-community/PaddleOCR-VL-1.6-4bit

PaddleOCR VL 1.6 4bit Parameters and Internals

LLM Name	PaddleOCR VL 1.6 4bit
Repository 🤗	https://huggingface.co/mlx-community/PaddleOCR-VL-1.6-4bit
Base Model(s)	PaddlePaddle/PaddleOCR-VL-1.6 PaddlePaddle/PaddleOCR-VL-1.6
Model Size	905.6m
Required VRAM	0.7 GB
Updated	2026-10-11
Maintainer	mlx-community
Model Type	paddleocr_vl
Model Files	0.7 GB
Quantization Type	4bit
Model Architecture	PaddleOCRVLForConditionalGeneration
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	103424

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