What are the hardware requirements for Qwen3.8 Cyber RedTeam Surgical Abliterated?

Qwen3.8 Cyber RedTeam Surgical Abliterated requires approximately 27.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Cyber RedTeam Surgical Abliterated and how large is it?

Qwen3.8 Cyber RedTeam Surgical Abliterated is developed by medismera, 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 Cyber RedTeam Surgical Abliterated?

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

Qwen3.8 Cyber RedTeam Surgical Abliterated by medismera — VRAM 27.1GB

Name: Qwen3.8 Cyber RedTeam Surgical Abliterated
Author: medismera

Qwen3.8 Cyber RedTeam Surgical Abliterated is an open-source language model by medismera. Features: 27b LLM, VRAM: 27.1GB, License: apache-2.0, LLM Explorer Score: 0.3.

Agentic Ar Base model:medismera/qwen3.8-2... Base model:quantized:medismera... Cloud-security Conversational Cot Cybersecurity En Endpoints compatible Exploit-development Fp8 Hybrid-ssm Image-text-to-text Linear-attention Memory-corruption Offensive-security Qwen Qwen3 5 Reasoning Red-team Region:us Reverse-engineering Safetensors Sglang Sharded Tensorflow Vllm Vulnerability-research

Model Card on HF 🤗: https://huggingface.co/medismera/Qwen3.8-cyber-RedTeam-Surgical-Abliterated

Qwen3.8 Cyber RedTeam Surgical Abliterated Parameters and Internals

LLM Name	Qwen3.8 Cyber RedTeam Surgical Abliterated
Repository 🤗	https://huggingface.co/medismera/Qwen3.8-cyber-RedTeam-Surgical-Abliterated
Base Model(s)	medismera/Qwen3.8-27B-Surgical-Abliterated medismera/Qwen3.8-27B-Surgical-Abliterated
Model Size	27b
Required VRAM	27.1 GB
Updated	2026-10-07
Maintainer	medismera
Model Type	qwen3_5
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 2.2 GB: 6-of-6 0.9 GB
Supported Languages	en ar
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 Cyber RedTeam Surgical Abliterated 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

Best Alternatives to Qwen3.8 Cyber RedTeam Surgical Abliterated

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	89	2
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	7255	1714
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 medismera/Qwen3.8-cyber-RedTeam-Surgical-Abliterated.