What are the hardware requirements for Huihui CyberStrike OffSec 35B Abliterated?

Huihui CyberStrike OffSec 35B Abliterated requires approximately 70.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Huihui CyberStrike OffSec 35B Abliterated and how large is it?

Huihui CyberStrike OffSec 35B Abliterated is developed by huihui-ai, a model with 35b 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 CyberStrike OffSec 35B Abliterated?

Huihui CyberStrike OffSec 35B Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Huihui CyberStrike OffSec 35B Abliterated by huihui-ai — VRAM 70.4GB

Name: Huihui CyberStrike OffSec 35B Abliterated
Author: huihui-ai

Huihui CyberStrike OffSec 35B Abliterated is an open-source language model by huihui-ai. Features: 35b LLM, VRAM: 70.4GB, License: apache-2.0, LLM Explorer Score: 0.25.

Abliterated Base model:finetune:oyildirim/... Base model:oyildirim/cyberstri... Conversational Cyberstrike Endpoints compatible Huihui Image-text-to-text Offensive-security Pentesting Qwen3 Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Tool-calling Uncensored

Model Card on HF 🤗: https://huggingface.co/huihui-ai/Huihui-CyberStrike-OffSec-35B-abliterated

Huihui CyberStrike OffSec 35B Abliterated Parameters and Internals

LLM Name	Huihui CyberStrike OffSec 35B Abliterated
Repository 🤗	https://huggingface.co/huihui-ai/Huihui-CyberStrike-OffSec-35B-abliterated
Base Model(s)	CyberStrike OffSec 35B oyildirim/CyberStrike-OffSec-35B
Model Size	35b
Required VRAM	70.4 GB
Updated	2026-08-11
Maintainer	huihui-ai
Model Type	qwen3_5_moe
Model Files	4.3 GB: 1-of-16 4.5 GB: 2-of-16 5.0 GB: 3-of-16 4.0 GB: 4-of-16 4.5 GB: 5-of-16 5.0 GB: 6-of-16 4.0 GB: 7-of-16 4.5 GB: 8-of-16 5.0 GB: 9-of-16 4.0 GB: 10-of-16 4.5 GB: 11-of-16 5.0 GB: 12-of-16 4.0 GB: 13-of-16 4.5 GB: 14-of-16 5.0 GB: 15-of-16 2.6 GB: 16-of-16 1.7 GB
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Huihui CyberStrike OffSec 35B 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

Quantized Models of the Huihui CyberStrike OffSec 35B Abliterated

Model	Likes	Downloads	VRAM
... Abliterated OQ4e FP16 MTP MLX	1	261	22 GB
... Abliterated OQ8e FP16 MTP MLX	1	182	39 GB

Best Alternatives to Huihui CyberStrike OffSec 35B Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
....5 35B A3B Sceptic V3 1M W4A16	1024K / 26.1 GB	223	0
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	58	0
Qwen3.6 35B A3B NPU2	256K / GB	82	0
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
JEV 35B	0K / 72.3 GB	713162	403
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1476419	519
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343

Note: green Score (e.g. "73.2") means that the model is better than huihui-ai/Huihui-CyberStrike-OffSec-35B-abliterated.