What are the hardware requirements for Gemma 2 2B ArliAI RPMax V1.1 Abliterated?

Gemma 2 2B ArliAI RPMax V1.1 Abliterated requires approximately 6.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2 2B ArliAI RPMax V1.1 Abliterated and how large is it?

Gemma 2 2B ArliAI RPMax V1.1 Abliterated is developed by dummy9996, a model with 2b 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 2 2B ArliAI RPMax V1.1 Abliterated?

Gemma 2 2B ArliAI RPMax V1.1 Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 2B ArliAI RPMax V1.1 Abliterated by dummy9996 — VRAM 6.4GB, 8K context

Name: Gemma 2 2B ArliAI RPMax V1.1 Abliterated
Author: dummy9996

Gemma 2 2B ArliAI RPMax V1.1 Abliterated is an open-source language model by dummy9996. Features: 2b LLM, VRAM: 6.4GB, Context: 8K, License: other, LLM Explorer Score: 0.25.

Base model:arliai/gemma-2-2b-a... Base model:finetune:arliai/gem... Conversational Endpoints compatible Gemma2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/dummy9996/Gemma-2-2B-ArliAI-RPMax-v1.1-abliterated

Gemma 2 2B ArliAI RPMax V1.1 Abliterated Parameters and Internals

LLM Name	Gemma 2 2B ArliAI RPMax V1.1 Abliterated
Repository 🤗	https://huggingface.co/dummy9996/Gemma-2-2B-ArliAI-RPMax-v1.1-abliterated
Base Model(s)	ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1 ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1
Model Size	2b
Required VRAM	6.4 GB
Updated	2026-06-24
Maintainer	dummy9996
Model Type	gemma2
Model Files	6.4 GB
Model Architecture	Gemma2ForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	5.12.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000

Rank the Gemma 2 2B ArliAI RPMax V1.1 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

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Note: green Score (e.g. "73.2") means that the model is better than dummy9996/Gemma-2-2B-ArliAI-RPMax-v1.1-abliterated.