What are the hardware requirements for MasryGPT Chat 1.5B?

MasryGPT Chat 1.5B requires approximately 3.1 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 MasryGPT Chat 1.5B and how large is it?

MasryGPT Chat 1.5B is developed by ISLAM-PO, a model with 1.5b 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 MasryGPT Chat 1.5B?

MasryGPT Chat 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MasryGPT Chat 1.5B by ISLAM-PO — VRAM 3.1GB, 32K context

Name: MasryGPT Chat 1.5B
Author: ISLAM-PO

MasryGPT Chat 1.5B is an open-source language model by ISLAM-PO. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3.

Ar Arabic Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Chat Conversational Dialect Egyptian-arabic Egyptian-dialect En Endpoints compatible Instruct Instruction-tuned Lora Masry Peft Pytorch Qlora Qwen2 Qwen2.5 Region:us Safetensors Sft Unsloth عامية-مصرية

Model Card on HF 🤗: https://huggingface.co/ISLAM-PO/MasryGPT-Chat-1.5B

MasryGPT Chat 1.5B Parameters and Internals

LLM Name	MasryGPT Chat 1.5B
Repository 🤗	https://huggingface.co/ISLAM-PO/MasryGPT-Chat-1.5B
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-09-27
Maintainer	ISLAM-PO
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	ar en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
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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