What are the hardware requirements for Hatformer Synthetic Arabic?

Hatformer Synthetic Arabic requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hatformer Synthetic Arabic and how large is it?

Hatformer Synthetic Arabic is developed by cyttic, a model with 333.9m 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 Hatformer Synthetic Arabic?

Hatformer Synthetic Arabic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hatformer Synthetic Arabic by cyttic — VRAM 0.7GB

Name: Hatformer Synthetic Arabic
Author: cyttic

Hatformer Synthetic Arabic is an open-source language model by cyttic. Features: 333.9m LLM, VRAM: 0.7GB.

Region:us Safetensors Vision Vision-encoder-decoder

Model Card on HF 🤗: https://huggingface.co/cyttic/hatformer-synthetic-arabic

Hatformer Synthetic Arabic Parameters and Internals

LLM Name	Hatformer Synthetic Arabic
Repository 🤗	https://huggingface.co/cyttic/hatformer-synthetic-arabic
Model Size	333.9m
Required VRAM	0.7 GB
Updated	2026-08-09
Maintainer	cyttic
Model Type	vision-encoder-decoder
Model Files	0.7 GB
Model Architecture	VisionEncoderDecoderModel
Transformers Version	4.37.2
Vocabulary Size	50265
Torch Data Type	float16

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Data Analysis and Insight Generation
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