What are the hardware requirements for Absir Arabic Ocr 1.6B?

Absir Arabic Ocr 1.6B requires approximately 3.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Absir Arabic Ocr 1.6B and how large is it?

Absir Arabic Ocr 1.6B is developed by g3ida, a model with 1.6b 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 Absir Arabic Ocr 1.6B?

Absir Arabic Ocr 1.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Absir Arabic Ocr 1.6B by g3ida — VRAM 3.2GB

Name: Absir Arabic Ocr 1.6B
Author: g3ida

Absir Arabic Ocr 1.6B is an open-source language model by g3ida. Features: 1.6b LLM, VRAM: 3.2GB, License: other, LLM Explorer Score: 0.3.

Arxiv:2502.14949 Arxiv:2509.18174 Ar Arabic Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-vl-... Conversational Document-ai Endpoints compatible Image-text-to-text Lfm2 vl Ocr Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/g3ida/absir-arabic-ocr-1.6B

Absir Arabic Ocr 1.6B Parameters and Internals

LLM Name	Absir Arabic Ocr 1.6B
Repository 🤗	https://huggingface.co/g3ida/absir-arabic-ocr-1.6B
Base Model(s)	LiquidAI/LFM2.5-VL-1.6B LiquidAI/LFM2.5-VL-1.6B
Model Size	1.6b
Required VRAM	3.2 GB
Updated	2026-10-27
Maintainer	g3ida
Model Type	lfm2_vl
Model Files	3.2 GB
Supported Languages	ar
Model Architecture	Lfm2VlForConditionalGeneration
License	other
Transformers Version	5.11.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>

Rank the Absir Arabic Ocr 1.6B capabilities

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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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