What are the hardware requirements for Deepseek Vl 7B Chat 4bit?

Deepseek Vl 7B Chat 4bit requires approximately 4.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepseek Vl 7B Chat 4bit and how large is it?

Deepseek Vl 7B Chat 4bit is developed by mlx-community, a model with 7b 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 Deepseek Vl 7B Chat 4bit?

Deepseek Vl 7B Chat 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Vl 7B Chat 4bit by mlx-community — VRAM 4.2GB

Name: Deepseek Vl 7B Chat 4bit
Author: mlx-community

Deepseek Vl 7B Chat 4bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 4.2GB, License: other, Quantized, LLM Explorer Score: 0.13.

4bit Conversational Image-text-to-text Mlx Multi modality Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/deepseek-vl-7b-chat-4bit

Deepseek Vl 7B Chat 4bit Parameters and Internals

LLM Name	Deepseek Vl 7B Chat 4bit
Repository 🤗	https://huggingface.co/mlx-community/deepseek-vl-7b-chat-4bit
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	multi_modality
Model Files	4.2 GB
Quantization Type	4bit
Model Architecture	MultiModalityCausalLM
License	other
Model Max Length	16384
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Torch Data Type	float16

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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