What are the hardware requirements for Triage Qwen3 8B Public V5?

Triage Qwen3 8B Public V5 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Triage Qwen3 8B Public V5 and how large is it?

Triage Qwen3 8B Public V5 is developed by mahendra1980, a model with 8b 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 Triage Qwen3 8B Public V5?

Triage Qwen3 8B Public V5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Triage Qwen3 8B Public V5 by mahendra1980 — VRAM 0.2GB

Name: Triage Qwen3 8B Public V5
Author: mahendra1980

Triage Qwen3 8B Public V5 is an open-source language model by mahendra1980. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0.

Adapter Alert-triage Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-8b Conversational Cybersecurity Finetuned Lora Peft Qlora Region:us Safetensors Security Soc Unsloth

Model Card on HF 🤗: https://huggingface.co/mahendra1980/triage-qwen3-8b-public-v5

Triage Qwen3 8B Public V5 Parameters and Internals

LLM Name	Triage Qwen3 8B Public V5
Repository 🤗	https://huggingface.co/mahendra1980/triage-qwen3-8b-public-v5
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	0.2 GB
Updated	2026-10-27
Maintainer	mahendra1980
Model Files	0.2 GB
Model Architecture	Adapter
License	apache-2.0
Model Max Length	40960
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|k_proj\|gate_proj\|v_proj\|up_proj\|o_proj\|down_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	16
Errors	replace

Rank the Triage Qwen3 8B Public V5 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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Note: green Score (e.g. "73.2") means that the model is better than mahendra1980/triage-qwen3-8b-public-v5.