What are the hardware requirements for Beacon Qualification Qwen2.5 1.5B Qlora?

Beacon Qualification Qwen2.5 1.5B Qlora requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Beacon Qualification Qwen2.5 1.5B Qlora and how large is it?

Beacon Qualification Qwen2.5 1.5B Qlora is developed by abidansari5594, 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 Beacon Qualification Qwen2.5 1.5B Qlora?

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

Beacon Qualification Qwen2.5 1.5B Qlora by abidansari5594 — VRAM 0.1GB

Name: Beacon Qualification Qwen2.5 1.5B Qlora
Author: abidansari5594

Beacon Qualification Qwen2.5 1.5B Qlora is an open-source language model by abidansari5594. Features: 1.5b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3.

Adapter Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Conversational En Finetuned Hi Information-extraction Instruct Lead-qualification Lora Peft Qlora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/abidansari5594/beacon-qualification-qwen2.5-1.5b-qlora

Beacon Qualification Qwen2.5 1.5B Qlora Parameters and Internals

LLM Name	Beacon Qualification Qwen2.5 1.5B Qlora
Repository 🤗	https://huggingface.co/abidansari5594/beacon-qualification-qwen2.5-1.5b-qlora
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	0.1 GB
Updated	2026-10-03
Maintainer	abidansari5594
Instruction-Based	Yes
Model Files	0.1 GB
Supported Languages	en hi
Model Architecture	Adapter
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	down_proj\|v_proj\|gate_proj\|up_proj\|q_proj\|k_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Beacon Qualification Qwen2.5 1.5B Qlora 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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