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

Qwen3.8 27B Abliterated Cyber Preview requires approximately 55.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.8 27B Abliterated Cyber Preview is developed by hotdogs, 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 Qwen3.8 27B Abliterated Cyber Preview?

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

Qwen3.8 27B Abliterated Cyber Preview by hotdogs — VRAM 55.5GB

Name: Qwen3.8 27B Abliterated Cyber Preview
Author: hotdogs

Qwen3.8 27B Abliterated Cyber Preview is an open-source language model by hotdogs. Features: 27b LLM, VRAM: 55.5GB, License: apache-2.0, LLM Explorer Score: 0.25.

Abliterated Agentic Base model:finetune:hotdogs/qw... Base model:hotdogs/qwen3.8-27b... Conversational Cybersecurity Dataset:hotdogs/cyber-sft-agen... En Endpoints compatible Image-text-to-text Mcp Offensive-security Qwen3 5 Region:us Safetensors Sharded Tensorflow Tool-calling Zh

Model Card on HF 🤗: https://huggingface.co/hotdogs/Qwen3.8-27B-abliterated-cyber-preview

Qwen3.8 27B Abliterated Cyber Preview Parameters and Internals

LLM Name	Qwen3.8 27B Abliterated Cyber Preview
Repository 🤗	https://huggingface.co/hotdogs/Qwen3.8-27B-abliterated-cyber-preview
Model Name	/home/ubuntu/model/Qwen3.8-27B-Ablit-lam12
Base Model(s)	hotdogs/Qwen3.8-27B-abliterated hotdogs/Qwen3.8-27B-abliterated
Model Size	27b
Required VRAM	55.5 GB
Updated	2026-08-21
Maintainer	hotdogs
Model Type	qwen3_5
Model Files	49.8 GB: 1-of-2 5.7 GB: 2-of-2
Supported Languages	en zh
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B Abliterated Cyber Preview 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

Best Alternatives to Qwen3.8 27B Abliterated Cyber Preview

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	87	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	9513	1835
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416

Note: green Score (e.g. "73.2") means that the model is better than hotdogs/Qwen3.8-27B-abliterated-cyber-preview.