What are the hardware requirements for Deepseek Vl 1.3B Chat 8bit?

Deepseek Vl 1.3B Chat 8bit requires approximately 2.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepseek Vl 1.3B Chat 8bit and how large is it?

Deepseek Vl 1.3B Chat 8bit is developed by mlx-community, a model with 1.3b 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 1.3B Chat 8bit?

Deepseek Vl 1.3B Chat 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Vl 1.3B Chat 8bit by mlx-community — VRAM 2.1GB

Name: Deepseek Vl 1.3B Chat 8bit
Author: mlx-community

Deepseek Vl 1.3B Chat 8bit is an open-source language model by mlx-community. Features: 1.3b LLM, VRAM: 2.1GB, License: other, Quantized, LLM Explorer Score: 0.14.

8bit Image-text-to-text Mlx Multi modality Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/deepseek-vl-1.3b-chat-8bit

Deepseek Vl 1.3B Chat 8bit Parameters and Internals

LLM Name	Deepseek Vl 1.3B Chat 8bit
Repository 🤗	https://huggingface.co/mlx-community/deepseek-vl-1.3b-chat-8bit
Model Size	1.3b
Required VRAM	2.1 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	multi_modality
Model Files	2.1 GB
Quantization Type	8bit
Model Architecture	MultiModalityCausalLM
License	other
Model Max Length	16384
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Torch Data Type	float16

Rank the Deepseek Vl 1.3B Chat 8bit 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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