What are the hardware requirements for Qwen3 0.6B Gabliterated?

Qwen3 0.6B Gabliterated requires approximately 1.2 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 Gabliterated and how large is it?

Qwen3 0.6B Gabliterated is developed by Goekdeniz-Guelmez, 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 Gabliterated?

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

Qwen3 0.6B Gabliterated by Goekdeniz-Guelmez — VRAM 1.2GB, 40K context

Name: Qwen3 0.6B Gabliterated
Author: Goekdeniz-Guelmez

Qwen3 0.6B Gabliterated is an open-source language model by Goekdeniz-Guelmez. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.22.

Arxiv:2512.18901 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Dataset:mlabonne/harmful behav... Dataset:mlabonne/harmless alpa... Gabliteration Model-index Qwen3 Region:us Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Qwen3-0.6B-gabliterated

Qwen3 0.6B Gabliterated Parameters and Internals

LLM Name	Qwen3 0.6B Gabliterated
Repository 🤗	https://huggingface.co/Goekdeniz-Guelmez/Qwen3-0.6B-gabliterated
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-04
Maintainer	Goekdeniz-Guelmez
Model Type	qwen3
Model Files	1.2 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 0.6B Gabliterated 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 Qwen3 0.6B Gabliterated

Model	Likes	Downloads	VRAM
Qwen3 0.6B Gabliterated 4bit	1	6	0 GB

Best Alternatives to Qwen3 0.6B Gabliterated

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Quipu 0.6B	40K / 1.2 GB	351	4
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Qwen3 Finetuned	40K / 1.2 GB	98	1
Privasis Cleaner 0.6B	40K / 1.2 GB	70	0
Qwen3 0.6B Sushi Code Expert	40K / 1.5 GB	40	0
Qwen 0.6B ConvFill	40K / 1.2 GB	106	0
Qwen3 0.6B	40K / 1.2 GB	99924	22
GLM 5.1 Qwen3 0.6B CoNDeNse	40K / 1.5 GB	131	2

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