What are the hardware requirements for Qwen1.5B Masri Lora?

Qwen1.5B Masri Lora requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen1.5B Masri Lora and how large is it?

Qwen1.5B Masri Lora is developed by rodinaahmed30, 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 Qwen1.5B Masri Lora?

Qwen1.5B Masri Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen1.5B Masri Lora by rodinaahmed30 — VRAM 0.3GB

Name: Qwen1.5B Masri Lora
Author: rodinaahmed30

Qwen1.5B Masri Lora is an open-source language model by rodinaahmed30. Features: 1.5b LLM, VRAM: 0.3GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Conversational Instruct Llama-factory Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/rodinaahmed30/qwen1.5b-masri-lora

Qwen1.5B Masri Lora Parameters and Internals

LLM Name	Qwen1.5B Masri Lora
Repository 🤗	https://huggingface.co/rodinaahmed30/qwen1.5b-masri-lora
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	0.3 GB
Updated	2026-10-20
Maintainer	rodinaahmed30
Instruction-Based	Yes
Model Files	0.3 GB 0.0 GB
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|k_proj\|up_proj\|q_proj\|down_proj\|o_proj\|gate_proj
LoRA Alpha	128
LoRA Dropout	0.05
R Param	64
Errors	replace

Rank the Qwen1.5B Masri Lora 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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