What are the hardware requirements for Gemma 3 27B It Abliterated V2?

Gemma 3 27B It Abliterated V2 requires approximately 108.9 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 27B It Abliterated V2 and how large is it?

Gemma 3 27B It Abliterated V2 is developed by mlabonne, a model with 27b 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 27B It Abliterated V2?

Gemma 3 27B It Abliterated V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 27B It Abliterated V2 by mlabonne — VRAM 108.9GB, 128K context

Name: Gemma 3 27B It Abliterated V2
Author: mlabonne

Gemma 3 27B It Abliterated V2 is an open-source language model by mlabonne. Features: 27b LLM, VRAM: 108.9GB, Context: 128K, License: gemma, LLM Explorer Score: 0.19.

Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-3-27b-... Conversational Endpoints compatible Gemma3 text Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlabonne/gemma-3-27b-it-abliterated-v2

Gemma 3 27B It Abliterated V2 Parameters and Internals

LLM Name	Gemma 3 27B It Abliterated V2
Repository 🤗	https://huggingface.co/mlabonne/gemma-3-27b-it-abliterated-v2
Base Model(s)	Gemma 3 27B It google/gemma-3-27b-it
Model Size	27b
Required VRAM	108.9 GB
Updated	2025-06-04
Maintainer	mlabonne
Model Type	gemma3_text
Model Files	5.6 GB: 1-of-22 5.0 GB: 2-of-22 5.0 GB: 3-of-22 5.0 GB: 4-of-22 5.0 GB: 5-of-22 5.0 GB: 6-of-22 5.0 GB: 7-of-22 5.0 GB: 8-of-22 5.0 GB: 9-of-22 5.0 GB: 10-of-22 5.0 GB: 11-of-22 5.0 GB: 12-of-22 5.0 GB: 13-of-22 5.0 GB: 14-of-22 5.0 GB: 15-of-22 5.0 GB: 16-of-22 5.0 GB: 17-of-22 5.0 GB: 18-of-22 5.0 GB: 19-of-22 5.0 GB: 20-of-22 5.0 GB: 21-of-22 3.3 GB: 22-of-22
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 27B It Abliterated V2 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

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Fanar 2 27B Instruct	128K / 54.4 GB	10917	11
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Gemma 3 40B	128K / 79.6 GB	0	1
Medgemma 27B Text It Bf16	128K / 56.8 GB	40	3
...a 3 27B Experiment Storyteller	128K / 54.4 GB	7	0
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Gemma 3 27B Fujin	128K / 54.4 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than mlabonne/gemma-3-27b-it-abliterated-v2.