What are the hardware requirements for Qianfan VL 8B?

Qianfan VL 8B requires approximately 17.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qianfan VL 8B and how large is it?

Qianfan VL 8B is developed by baidu, 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 Qianfan VL 8B?

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

Qianfan VL 8B by baidu — VRAM 17.7GB

Name: Qianfan VL 8B
Author: baidu

Qianfan VL 8B is an open-source language model by baidu. Features: 8b LLM, VRAM: 17.7GB, License: other, LLM Explorer Score: 0.21.

Arxiv:2603.13398 Conversational Custom code Document-understanding En Feature-extraction Image-text-to-text Multimodal Ocr Qianfanvl chat Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/baidu/Qianfan-VL-8B

Qianfan VL 8B Parameters and Internals

LLM Name	Qianfan VL 8B
Repository 🤗	https://huggingface.co/baidu/Qianfan-VL-8B
Model Size	8b
Required VRAM	17.7 GB
Updated	2026-08-08
Maintainer	baidu
Model Type	qianfanvl_chat
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 2.8 GB: 4-of-4
Supported Languages	en zh
Model Architecture	QianfanVLChatModel
License	other
Model Max Length	32768
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Torch Data Type	bfloat16

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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