What are the hardware requirements for Gemma 2 Ifable Abliterated 9B Untied?

Gemma 2 Ifable Abliterated 9B Untied requires approximately 20.4 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 Ifable Abliterated 9B Untied and how large is it?

Gemma 2 Ifable Abliterated 9B Untied is developed by TouchNight, a model with 9b 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 Ifable Abliterated 9B Untied?

Gemma 2 Ifable Abliterated 9B Untied is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 Ifable Abliterated 9B Untied by TouchNight — VRAM 20.4GB, 8K context

Name: Gemma 2 Ifable Abliterated 9B Untied
Author: TouchNight

Gemma 2 Ifable Abliterated 9B Untied is an open-source language model by TouchNight. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, LLM Explorer Score: 0.15.

Base model:finetune:touchnight... Base model:touchnight/gemma-2-... Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TouchNight/gemma-2-Ifable-abliterated-9B-untied

Gemma 2 Ifable Abliterated 9B Untied Parameters and Internals

LLM Name	Gemma 2 Ifable Abliterated 9B Untied
Repository 🤗	https://huggingface.co/TouchNight/gemma-2-Ifable-abliterated-9B-untied
Base Model(s)	TouchNight/gemma-2-Ifable-9B-untied TouchNight/gemma-2-Ifable-9B-untied
Model Size	9b
Required VRAM	20.4 GB
Updated	2026-06-05
Maintainer	TouchNight
Model Type	gemma2
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 5.0 GB: 3-of-5 3.7 GB: 4-of-5 1.8 GB: 5-of-5
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.46.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 Ifable Abliterated 9B Untied 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 2 Ifable Abliterated 9B Untied

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	8	1
SystemGemma2 9B It	32K / 18.6 GB	5	2
Gemma 2 9B It	8K / 18.6 GB	80757	11
GWQ 9B Preview2	8K / 18.6 GB	11	10
Gemma 2 9B It	8K / 18.6 GB	6	0
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It	8K / 18.6 GB	323635	837
Gemma 2 9B It Blend Rebase	8K / 20.4 GB	5	0
...ty Gemma2 9b It Swift Remove20	8K / 18.6 GB	179	1
Gemma 2 9B	8K / 37.1 GB	95888	717

Note: green Score (e.g. "73.2") means that the model is better than TouchNight/gemma-2-Ifable-abliterated-9B-untied.