What are the hardware requirements for Qwen2.5 0.5B Abliterated?

Qwen2.5 0.5B Abliterated requires approximately 1.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 0.5B Abliterated and how large is it?

Qwen2.5 0.5B Abliterated is developed by sbussiso, a model with 0.5b 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 Qwen2.5 0.5B Abliterated?

Qwen2.5 0.5B Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 0.5B Abliterated by sbussiso — VRAM 1.3GB, 32K context

Name: Qwen2.5 0.5B Abliterated
Author: sbussiso

Qwen2.5 0.5B Abliterated is an open-source language model by sbussiso. Features: 0.5b LLM, VRAM: 1.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.34.

Arxiv:2406.11717 Arxiv:2505.17306 Arxiv:2510.10390 Arxiv:2607.17427 Arxiv:2609.06934 Arxiv:2609.16204 Abliteration Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i... Conversational Endpoints compatible Instruct Qwen2 Refusal-direction Region:us Research Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/sbussiso/Qwen2.5-0.5B-abliterated

Qwen2.5 0.5B Abliterated Parameters and Internals

LLM Name	Qwen2.5 0.5B Abliterated
Repository 🤗	https://huggingface.co/sbussiso/Qwen2.5-0.5B-abliterated
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	1.3 GB
Updated	2026-09-30
Maintainer	sbussiso
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.3 GB
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen2.5 0.5B 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 Qwen2.5 0.5B Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Abyme Merge3	128K / 1.3 GB	30	1
Qwen2 0.5B Abyme Merge2	128K / 0.3 GB	24	0
Qwen2.5 0.5B Instruct	64K / 1 GB	16	0
Qwen2.5 0.5B Instruct	32K / 1 GB	6324790	572
Sawyer 0.5B	32K / 1 GB	474	3
Qwen2.5 0.5B Grounded Sft	32K / 1 GB	728	1
Qwen2.5 0.5B Grounded Rloo	32K / 1 GB	705	1
Parchi V2	32K / 1 GB	538	0
Qwen2.5 0.5B Sukshma	32K / GB	587	1
Qwen2.5 0.5B Instruct ONNX	32K / GB	340	2