What are the hardware requirements for Qwen3 27B OBLITERATED JANG VISION MLX 4bit?

Qwen3 27B OBLITERATED JANG VISION MLX 4bit requires approximately 15.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 27B OBLITERATED JANG VISION MLX 4bit and how large is it?

Qwen3 27B OBLITERATED JANG VISION MLX 4bit is developed by MrMofer, 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 Qwen3 27B OBLITERATED JANG VISION MLX 4bit?

Qwen3 27B OBLITERATED JANG VISION MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 27B OBLITERATED JANG VISION MLX 4bit by MrMofer — VRAM 15.5GB

Name: Qwen3 27B OBLITERATED JANG VISION MLX 4bit
Author: MrMofer

Qwen3 27B OBLITERATED JANG VISION MLX 4bit is an open-source language model by MrMofer. Features: 27b LLM, VRAM: 15.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

4-bit 4bit Abliterated Base model:obliteratus/qwen3.8... Base model:quantized:obliterat... Conversational En Es Hybrid Image-text-to-text Mlx Mlx-vlm Quantization Quantized Qwen3 Qwen3 5 Region:us Safetensors Sharded Tensorflow Uncensored Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/MrMofer/Qwen3-27B-OBLITERATED-JANG-VISION-MLX-4bit

Qwen3 27B OBLITERATED JANG VISION MLX 4bit Parameters and Internals

LLM Name	Qwen3 27B OBLITERATED JANG VISION MLX 4bit
Repository 🤗	https://huggingface.co/MrMofer/Qwen3-27B-OBLITERATED-JANG-VISION-MLX-4bit
Base Model(s)	Qwen/Qwen3-27B OBLITERATUS/Qwen3.8-27B-OBLITERATED dealignai/Qwen3.8-27B-JANG_4D-CRACK Qwen/Qwen3-27B OBLITERATUS/Qwen3.8-27B-OBLITERATED dealignai/Qwen3.8-27B-JANG_4D-CRACK
Model Size	27b
Required VRAM	15.5 GB
Updated	2026-08-21
Maintainer	MrMofer
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-5 5.3 GB: 2-of-5 4.5 GB: 3-of-5 0.2 GB: 4-of-5 0.2 GB: 5-of-5
Supported Languages	en es
Quantization Type	4bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3 27B OBLITERATED JANG VISION MLX 4bit 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 Qwen3 27B OBLITERATED JANG VISION MLX 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OptiQ 4bit	256K / 18.7 GB	13065	59
Bonsai 27B Mlx 1bit	0K / 5.1 GB	809309	205
Ternary Bonsai 27B Mlx 2bit	0K / 8.5 GB	809024	168
Qwen3.8 27B 8bit	0K / 29.4 GB	13892	33
Qwen3.8 27B 4bit	0K / 16 GB	6055	27
Qwen3.8 27B MLX 4bit	0K / 16 GB	19712	10
Qwen3.8 27B MLX 8bit	0K / 29.4 GB	24811	7
Qwen3.6 27B MLX 8bit	0K / 29.4 GB	879145	14
Qwen3.6 27B MLX 6bit	0K / 22.7 GB	812977	2
Qwen3.8 27B OptiQ 4bit	0K / 19.4 GB	3189	9

Note: green Score (e.g. "73.2") means that the model is better than MrMofer/Qwen3-27B-OBLITERATED-JANG-VISION-MLX-4bit.