What are the hardware requirements for Gemma 3 4B It Qat Abliterated?

Gemma 3 4B It Qat Abliterated requires approximately 15.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 3 4B It Qat Abliterated and how large is it?

Gemma 3 4B It Qat Abliterated is developed by mlabonne, 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 Gemma 3 4B It Qat Abliterated?

Gemma 3 4B It Qat Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 4B It Qat Abliterated by mlabonne — VRAM 15.5GB, 128K context

Name: Gemma 3 4B It Qat Abliterated
Author: mlabonne

Gemma 3 4B It Qat Abliterated is an open-source language model by mlabonne. Features: 4b LLM, VRAM: 15.5GB, Context: 128K, License: gemma, Quantized.

Base model:finetune:google/gem... Base model:google/gemma-3-4b-i... Conversational Endpoints compatible Gemma3 text Image-text-to-text Q4 Q4 0 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlabonne/gemma-3-4b-it-qat-abliterated

Gemma 3 4B It Qat Abliterated Parameters and Internals

LLM Name	Gemma 3 4B It Qat Abliterated
Repository 🤗	https://huggingface.co/mlabonne/gemma-3-4b-it-qat-abliterated
Base Model(s)	google/gemma-3-4b-it-qat-q4_0-unquantized google/gemma-3-4b-it-qat-q4_0-unquantized
Model Size	4b
Required VRAM	15.5 GB
Updated	2026-08-09
Maintainer	mlabonne
Model Type	gemma3_text
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 0.7 GB: 4-of-4
Quantization Type	q4\|q4_0
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262208
Torch Data Type	float32

Rank the Gemma 3 4B It Qat 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 Gemma 3 4B It Qat Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 4B T1 It	128K / 9.1 GB	27	41
KONI 4B Instruct 20250901	128K / 7.8 GB	206	2
Nile Chat 4B	128K / 7.8 GB	760	19
Gemma 3 4B Cpt It 0820	128K / 7.8 GB	16	0
Gemma 3 4B Cpt It 0821	128K / 7.8 GB	10	0
Typhoon2.1 Gemma3 4B	128K / 7.8 GB	744	10
EEVE Rosetta 4B 2507	128K / 7.8 GB	14	8
Gemma 3 4B It Abliterated V2	128K / 15.5 GB	200	11
Typhoon2.1 Gemma3 4B	128K / 7.8 GB	232	6
Gemma 3 4B Tigrinya	128K / 7.8 GB	20	1

Note: green Score (e.g. "73.2") means that the model is better than mlabonne/gemma-3-4b-it-qat-abliterated.