What are the hardware requirements for Huihui Qwen3.8 27B Abliterated Cyber LoRA?

Huihui Qwen3.8 27B Abliterated Cyber LoRA requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Huihui Qwen3.8 27B Abliterated Cyber LoRA and how large is it?

Huihui Qwen3.8 27B Abliterated Cyber LoRA is developed by nico248000000000, a model with 27b 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 Huihui Qwen3.8 27B Abliterated Cyber LoRA?

Huihui Qwen3.8 27B Abliterated Cyber LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Huihui Qwen3.8 27B Abliterated Cyber LoRA by nico248000000000 — VRAM 0.4GB

Name: Huihui Qwen3.8 27B Abliterated Cyber LoRA
Author: nico248000000000

Huihui Qwen3.8 27B Abliterated Cyber LoRA is an open-source language model by nico248000000000. Features: 27b LLM, VRAM: 0.4GB, License: apache-2.0, LLM Explorer Score: 0.28.

Adapter Base model:adapter:huihui-ai/h... Base model:huihui-ai/huihui-qw... Conversational Cyber En Finetuned Image-text-to-text Lora Model-index Peft Qlora Region:us Safetensors Unsloth Video Vision

Model Card on HF 🤗: https://huggingface.co/nico248000000000/Huihui-Qwen3.8-27B-abliterated-cyber-LoRA

Huihui Qwen3.8 27B Abliterated Cyber LoRA Parameters and Internals

LLM Name	Huihui Qwen3.8 27B Abliterated Cyber LoRA
Repository 🤗	https://huggingface.co/nico248000000000/Huihui-Qwen3.8-27B-abliterated-cyber-LoRA
Model Name	OSE — Open Security Expert · Huihui — LoRA
Base Model(s)	huihui-ai/Huihui-Qwen3.8-27B-abliterated huihui-ai/Huihui-Qwen3.8-27B-abliterated
Model Size	27b
Required VRAM	0.4 GB
Updated	2026-09-28
Maintainer	nico248000000000
Model Files	0.4 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|down_proj\|out_proj\|v_proj\|gate_proj\|up_proj\|o_proj\|k_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Huihui Qwen3.8 27B Abliterated Cyber 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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