What are the hardware requirements for Qwen3.5 0.8B Abliterated?

Qwen3.5 0.8B Abliterated requires approximately 3.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 0.8B Abliterated and how large is it?

Qwen3.5 0.8B Abliterated is developed by OpceanAI, a model with 0.8b 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 Qwen3.5 0.8B Abliterated?

Qwen3.5 0.8B Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 0.8B Abliterated by OpceanAI — VRAM 3.5GB

Name: Qwen3.5 0.8B Abliterated
Author: OpceanAI

Qwen3.5 0.8B Abliterated is an open-source language model by OpceanAI. Features: 0.8b LLM, VRAM: 3.5GB, License: apache-2.0, LLM Explorer Score: 0.29.

Arxiv:2406.11717 Abliteration Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b Conversational Dataset:cais/mmlu Dataset:mlabonne/harmful behav... Dataset:mlabonne/harmless alpa... Dataset:openai/gsm8k Dataset:pku-alignment/beaverta... Dataset:tiger-lab/mmlu-pro Delta-net En Endpoints compatible Es Hybrid-attention Image-text-to-text Ja Ko Mechanistic-interpretability Multimodal Qwen3 5 Refusal-direction Region:us Safetensors Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/OpceanAI/Qwen3.5-0.8B-abliterated

Qwen3.5 0.8B Abliterated Parameters and Internals

LLM Name	Qwen3.5 0.8B Abliterated
Repository 🤗	https://huggingface.co/OpceanAI/Qwen3.5-0.8B-abliterated
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	3.5 GB
Updated	2026-11-09
Maintainer	OpceanAI
Model Type	qwen3_5
Model Files	3.5 GB
Supported Languages	en es zh ja ko
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.22.1
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 0.8B Abliterated 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 Qwen3.5 0.8B Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
... 0.8B Weight Space Programming	0K / 1.8 GB	1297	90
OvisOCR3	0K / 1.7 GB	4972	109
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
OvisOCR2	0K / 1.7 GB	83978	506
Xiaomi OCR 0	0K / 1.8 GB	16009	164
... 0.8B Weight Space Programming	0K / 1.8 GB	227	56
MinerU2.5 Flash 0.8B	0K / 1.7 GB	23	1
Qwen3.5 0.8B Astra WeightEdit	0K / 1.8 GB	141	19
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
LightOnOCR 3 0.8B	0K / 1.7 GB	1318	48

Note: green Score (e.g. "73.2") means that the model is better than OpceanAI/Qwen3.5-0.8B-abliterated.