What are the hardware requirements for Qwen3 0.6B Abliterated?

Qwen3 0.6B Abliterated requires approximately 2.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 0.6B Abliterated and how large is it?

Qwen3 0.6B Abliterated is developed by mlabonne, a model with 0.6b 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 0.6B Abliterated?

Qwen3 0.6B Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 0.6B Abliterated by mlabonne — VRAM 2.4GB, 40K context

Name: Qwen3 0.6B Abliterated
Author: mlabonne

Qwen3 0.6B Abliterated is an open-source language model by mlabonne. Features: 0.6b LLM, VRAM: 2.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Abliterated Abliteration Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlabonne/Qwen3-0.6B-abliterated

Qwen3 0.6B Abliterated Parameters and Internals

LLM Name	Qwen3 0.6B Abliterated
Repository 🤗	https://huggingface.co/mlabonne/Qwen3-0.6B-abliterated
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	2.4 GB
Updated	2026-07-28
Maintainer	mlabonne
Model Type	qwen3
Model Files	2.4 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen3 0.6B 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 0.6B Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Qwen3 0.6B JSON SFT	40K / 1.2 GB	428	1
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Meridian Ac Nano	40K / 1.2 GB	563	1
Qwen3 0.6B JSON SFT	40K / 1.2 GB	1676	0
Blake Haiku 1	40K / 1.2 GB	386	0
Tenorio 0.6B	40K / 1.2 GB	251	2
Quipu 0.6B	40K / 1.2 GB	351	4

Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Qwen3-0.6B-abliterated.