What are the hardware requirements for Llama 3.2 11B Vision Instruct Abliterated?

Llama 3.2 11B Vision Instruct Abliterated requires approximately 21.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 11B Vision Instruct Abliterated and how large is it?

Llama 3.2 11B Vision Instruct Abliterated is developed by mlx-community, a model with 11b 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 Llama 3.2 11B Vision Instruct Abliterated?

Llama 3.2 11B Vision Instruct Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 11B Vision Instruct Abliterated by mlx-community — VRAM 21.3GB

Name: Llama 3.2 11B Vision Instruct Abliterated
Author: mlx-community

Llama 3.2 11B Vision Instruct Abliterated is an open-source language model by mlx-community. Features: 11b LLM, VRAM: 21.3GB, License: llama3.2, Instruction-Based.

Abliterated Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational De En Endpoints compatible Es Facebook Fr Hi Image-text-to-text Instruct It Llama Llama-3 Meta Mllama Mlx Pt Pytorch Region:us Safetensors Sharded Tensorflow Th Uncensored Vision

Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated

Llama 3.2 11B Vision Instruct Abliterated Parameters and Internals

LLM Name	Llama 3.2 11B Vision Instruct Abliterated
Repository 🤗	https://huggingface.co/mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated
Base Model(s)	meta-llama/Llama-3.2-11B-Vision-Instruct meta-llama/Llama-3.2-11B-Vision-Instruct
Model Size	11b
Required VRAM	21.3 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	mllama
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-5 5.3 GB: 2-of-5 5.3 GB: 3-of-5 5.3 GB: 4-of-5 0.1 GB: 5-of-5
Supported Languages	en de fr it pt hi es th
Model Architecture	MllamaForConditionalGeneration
License	llama3.2
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Torch Data Type	bfloat16

Rank the Llama 3.2 11B Vision Instruct 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

Best Alternatives to Llama 3.2 11B Vision Instruct Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
...1B Vision Instruct FP8 Dynamic	0K / 12.6 GB	4490	22
...1B Vision Instruct FP8 Dynamic	0K / 12.6 GB	1442	24
...ion Instruct Abliterated 4 Bit	0K / 6 GB	312	1
...ion Instruct Abliterated 8 Bit	0K / 11.4 GB	152	1
...a 3.2 11B Vision Instruct 4bit	0K / 6 GB	902	7
...a 3.2 11B Vision Instruct 8bit	0K / 11.4 GB	1272	9

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated.