What are the hardware requirements for Qwen3.5 4B Abliterated?

Qwen3.5 4B Abliterated requires approximately 8.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 4B Abliterated and how large is it?

Qwen3.5 4B Abliterated is developed by wangzhang, a model with 4b 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 4B Abliterated?

Qwen3.5 4B Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B Abliterated by wangzhang — VRAM 8.4GB, 256K context

Name: Qwen3.5 4B Abliterated
Author: wangzhang

Qwen3.5 4B Abliterated is an open-source language model by wangzhang. Features: 4b LLM, VRAM: 8.4GB, Context: 256K, LLM Explorer Score: 0.23.

Abliterated Abliterix Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-4b Conversational Decensored Qwen3 5 text Region:us Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/wangzhang/Qwen3.5-4B-abliterated

Qwen3.5 4B Abliterated Parameters and Internals

LLM Name	Qwen3.5 4B Abliterated
Repository 🤗	https://huggingface.co/wangzhang/Qwen3.5-4B-abliterated
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	8.4 GB
Updated	2026-07-31
Maintainer	wangzhang
Model Type	qwen3_5_text
Model Files	8.4 GB
Model Architecture	Qwen3_5ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 4B 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 Qwen3.5 4B Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Agents A1 4B Fable Preview	256K / 8.4 GB	103	0
Decider 4B	256K / 8.4 GB	23565	17
NeoHorse 1 4B	256K / 8.4 GB	1771	179
JevK5	256K / 8.4 GB	5525	13
Plumb 4B	256K / 8.4 GB	2825	6
JSBAI Coder 4B	256K / 8.4 GB	2795	1
Aztec Coder 4B	256K / 8.4 GB	1197	4
Cisimcik 4B	256K / 8.4 GB	848	1
Wald 4B	256K / 8.4 GB	706	7
WikiQwen 4B	256K / 8.4 GB	1125	2

Note: green Score (e.g. "73.2") means that the model is better than wangzhang/Qwen3.5-4B-abliterated.