What are the hardware requirements for Gemma 4 E4B It OBLITERATED Mlx 8Bit?

Gemma 4 E4B It OBLITERATED Mlx 8Bit requires approximately 8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B It OBLITERATED Mlx 8Bit and how large is it?

Gemma 4 E4B It OBLITERATED Mlx 8Bit is developed by mlx-community, a model with 7.5b 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 4 E4B It OBLITERATED Mlx 8Bit?

Gemma 4 E4B It OBLITERATED Mlx 8Bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E4B It OBLITERATED Mlx 8Bit by mlx-community — VRAM 8GB

Name: Gemma 4 E4B It OBLITERATED Mlx 8Bit
Author: mlx-community

Gemma 4 E4B It OBLITERATED Mlx 8Bit is an open-source language model by mlx-community. Features: 7.5b LLM, VRAM: 8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

8-bit 8bit Abliterated Base model:obliteratus/gemma-4... Base model:quantized:obliterat... Conversational Gemma4 Gguf Mlx Mlx-my-repo Obliteratus Quantized Refusal-removal Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-E4B-it-OBLITERATED-mlx-8Bit

Gemma 4 E4B It OBLITERATED Mlx 8Bit Parameters and Internals

LLM Name	Gemma 4 E4B It OBLITERATED Mlx 8Bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-E4B-it-OBLITERATED-mlx-8Bit
Base Model(s)	Gemma 4 E4B It OBLITERATED OBLITERATUS/gemma-4-E4B-it-OBLITERATED
Model Size	7.5b
Required VRAM	8 GB
Updated	2026-08-05
Maintainer	mlx-community
Model Type	gemma4
Model Files	5.0 GB: 1-of-2 3.0 GB: 2-of-2
Quantization Type	8bit
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B It OBLITERATED Mlx 8Bit 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 4 E4B It OBLITERATED Mlx 8Bit

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Gemma 4 E4b It OptiQ 4bit	128K / 6.5 GB	4587	28
Gemma 4 E4b It Qat OptiQ 4bit	0K / 6.5 GB	2803	6
...litan Translator V0 Gemma4 E4b	0K / 6.5 GB	312	2
...litan Translator V0 Gemma4 E4b	0K / 6.5 GB	76	2
Supergemma4 E4b Abliterated	0K / 15.1 GB	660	79
MedusaGemma E4B	0K / 15.1 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-E4B-it-OBLITERATED-mlx-8Bit.