What are the hardware requirements for Janus Pro 7B?

Janus Pro 7B requires approximately 14.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Janus Pro 7B and how large is it?

Janus Pro 7B is developed by deepseek-ai, 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 Janus Pro 7B?

Janus Pro 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Janus Pro 7B by deepseek-ai — VRAM 14.8GB

Name: Janus Pro 7B
Author: deepseek-ai

Janus Pro 7B is an open-source language model by deepseek-ai. Features: 7b LLM, VRAM: 14.8GB, License: mit, LLM Explorer Score: 0.29.

Arxiv:2501.17811 Any-to-any Endpoints compatible Muiltimodal Multi modality Pytorch Region:us Sharded Text-to-image Unified-model

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/Janus-Pro-7B

Janus Pro 7B Parameters and Internals

LLM Name	Janus Pro 7B
Repository 🤗	https://huggingface.co/deepseek-ai/Janus-Pro-7B
Model Size	7b
Required VRAM	14.8 GB
Updated	2026-07-29
Maintainer	deepseek-ai
Model Type	multi_modality
Model Files	10.0 GB: 1-of-2 4.8 GB: 2-of-2
Model Architecture	AutoModel
License	mit
Model Max Length	16384
Transformers Version	4.33.1
Tokenizer Class	LlamaTokenizer
Torch Data Type	bfloat16

Rank the Janus Pro 7B 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

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