What are the hardware requirements for Qwen3 0.6B Gabliterated 4bit?

Qwen3 0.6B Gabliterated 4bit requires approximately 0.3 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 4bit and how large is it?

Qwen3 0.6B Gabliterated 4bit is developed by mlx-community, 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 4bit?

Qwen3 0.6B Gabliterated 4bit 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 4bit by mlx-community — VRAM 0.3GB, 40K context

Name: Qwen3 0.6B Gabliterated 4bit
Author: mlx-community

Qwen3 0.6B Gabliterated 4bit is an open-source language model by mlx-community. Features: 0.6b LLM, VRAM: 0.3GB, Context: 40K, Quantized, LLM Explorer Score: 0.22.

4-bit 4bit Base model:goekdeniz-guelmez/q... Base model:quantized:goekdeniz... Conversational Dataset:mlabonne/harmful behav... Dataset:mlabonne/harmless alpa... Gabliteration Mlx Model-index Quantized Qwen3 Region:us Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-0.6B-gabliterated-4bit

Qwen3 0.6B Gabliterated 4bit Parameters and Internals

LLM Name	Qwen3 0.6B Gabliterated 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3-0.6B-gabliterated-4bit
Base Model(s)	Goekdeniz-Guelmez/Qwen3-0.6B-gabliterated Goekdeniz-Guelmez/Qwen3-0.6B-gabliterated
Model Size	0.6b
Required VRAM	0.3 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	qwen3
Model Files	0.3 GB
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	5.0.0rc1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 0.6B Gabliterated 4bit 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 0.6B Gabliterated 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Agent 0.6B	125K / 1.2 GB	14	0
Fizik 0.6B Preview	40K / 1.2 GB	9	0
Qwen3 0.6B Unsloth Bnb 4bit	40K / 0.6 GB	146920	25
Qwentestnew1	40K / 1.2 GB	66	0
Qwen3 0.6B 4bit	40K / 0.3 GB	50315	14
Qwen3 0.6B 8bit	40K / 0.6 GB	41318	7
Qwen3 0.6B SFTchat Math	40K / 1.2 GB	15	0
Meet7 0.6B	40K / 1.2 GB	10	1
...d Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	24	1
Qwen3 0.6B Bnb 4bit	40K / 0.5 GB	5786	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-0.6B-gabliterated-4bit.