What are the hardware requirements for Idefics2 8B 4bit?

Idefics2 8B 4bit requires approximately 4.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Idefics2 8B 4bit and how large is it?

Idefics2 8B 4bit is developed by mlx-community, a model with 8b 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 Idefics2 8B 4bit?

Idefics2 8B 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Idefics2 8B 4bit by mlx-community — VRAM 4.8GB

Name: Idefics2 8B 4bit
Author: mlx-community

Idefics2 8B 4bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 4.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

4bit Conversational Dataset:atlasunified/atlas-mat... Dataset:camel-ai/math Dataset:databricks/databricks-... Dataset:facebook/pmd Dataset:gair/lima Dataset:huggingfacem4/obelics Dataset:huggingfacem4/the caul... Dataset:jxu124/llava conversat... Dataset:laion/laion-coco Dataset:lin-chen/sharegpt4v Dataset:meta-math/metamathqa Dataset:microsoft/orca-math-wo... Dataset:pixparse/idl-wds Dataset:pixparse/pdfa-eng-wds Dataset:teknium/openhermes-2.5 Dataset:tiedong/goat Dataset:tiger-lab/mathinstruct Dataset:wendlerc/renderedtext Dataset:wikipedia En Idefics2 Image-text-to-text Mlx Multimodal Quantized Region:us Safetensors Vision

Model Card on HF 🤗: https://huggingface.co/mlx-community/idefics2-8b-4bit

Idefics2 8B 4bit Parameters and Internals

LLM Name	Idefics2 8B 4bit
Repository 🤗	https://huggingface.co/mlx-community/idefics2-8b-4bit
Model Size	8b
Required VRAM	4.8 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	idefics2
Model Files	4.8 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Idefics2ForConditionalGeneration
License	apache-2.0
Transformers Version	4.39.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Torch Data Type	float32

Rank the Idefics2 8B 4bit capabilities

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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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