Who developed Qwen2.5 0.5B Instruct Opensec Triage Lora and how large is it?

Qwen2.5 0.5B Instruct Opensec Triage Lora is developed by thealper2, a model with 0.5b 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 Qwen2.5 0.5B Instruct Opensec Triage Lora?

Qwen2.5 0.5B Instruct Opensec Triage Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 0.5B Instruct Opensec Triage Lora by thealper2

Name: Qwen2.5 0.5B Instruct Opensec Triage Lora
Author: thealper2

Qwen2.5 0.5B Instruct Opensec Triage Lora is an open-source language model by thealper2. Features: 0.5b LLM, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.27.

Adapter Alert-triage Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-0.5b-i... Conversational Dataset:tegridydev/opensec-tri... En Finetuned Instruct Lora Peft Qwen2 Region:us Safetensors Security Structured-output

Model Card on HF 🤗: https://huggingface.co/thealper2/Qwen2.5-0.5B-Instruct-opensec-triage-lora

Qwen2.5 0.5B Instruct Opensec Triage Lora Parameters and Internals

LLM Name	Qwen2.5 0.5B Instruct Opensec Triage Lora
Repository 🤗	https://huggingface.co/thealper2/Qwen2.5-0.5B-Instruct-opensec-triage-lora
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	0 GB
Updated	2026-09-29
Maintainer	thealper2
Instruction-Based	Yes
Model Files	0.0 GB
Supported Languages	en
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	o_proj\|down_proj\|gate_proj\|k_proj\|up_proj\|q_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
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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