What are the hardware requirements for Qareed Qwen2.5 1.5B Poet V1?

Qareed Qwen2.5 1.5B Poet V1 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 Qareed Qwen2.5 1.5B Poet V1 and how large is it?

Qareed Qwen2.5 1.5B Poet V1 is developed by Youssefx64, 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 Qareed Qwen2.5 1.5B Poet V1?

Qareed Qwen2.5 1.5B Poet V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qareed Qwen2.5 1.5B Poet V1 by Youssefx64 — VRAM 3.1GB, 32K context

Name: Qareed Qwen2.5 1.5B Poet V1
Author: Youssefx64

Qareed Qwen2.5 1.5B Poet V1 is an open-source language model by Youssefx64. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

Arxiv:2307.06218 Ar Arabic Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Conversational Dataset:arbml/ashaar dataset Endpoints compatible Instruct Peft Poetry Qlora Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Youssefx64/Qareed-Qwen2.5-1.5B-Poet-v1

Qareed Qwen2.5 1.5B Poet V1 Parameters and Internals

LLM Name	Qareed Qwen2.5 1.5B Poet V1
Repository 🤗	https://huggingface.co/Youssefx64/Qareed-Qwen2.5-1.5B-Poet-v1
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	2026-10-12
Maintainer	Youssefx64
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	ar
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.19.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qareed Qwen2.5 1.5B Poet V1 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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