What are the hardware requirements for ProactiveMobile Qwen2.5 VL 7B?

ProactiveMobile Qwen2.5 VL 7B requires approximately 16.6 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ProactiveMobile Qwen2.5 VL 7B and how large is it?

ProactiveMobile Qwen2.5 VL 7B is developed by xiaomi-research, 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 ProactiveMobile Qwen2.5 VL 7B?

ProactiveMobile Qwen2.5 VL 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ProactiveMobile Qwen2.5 VL 7B by xiaomi-research — VRAM 16.6GB, 125K context

Name: ProactiveMobile Qwen2.5 VL 7B
Author: xiaomi-research

ProactiveMobile Qwen2.5 VL 7B is an open-source language model by xiaomi-research. Features: 7b LLM, VRAM: 16.6GB, Context: 125K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-vl-7b-... Conversational Endpoints compatible Function-calling Image-text-to-text Instruct Mobile-agent Proactive-agent Qwen2.5-vl Qwen2 5 vl Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/xiaomi-research/ProactiveMobile-Qwen2.5-VL-7B

ProactiveMobile Qwen2.5 VL 7B Parameters and Internals

LLM Name	ProactiveMobile Qwen2.5 VL 7B
Repository 🤗	https://huggingface.co/xiaomi-research/ProactiveMobile-Qwen2.5-VL-7B
Base Model(s)	Qwen/Qwen2.5-VL-7B-Instruct Qwen/Qwen2.5-VL-7B-Instruct
Model Size	7b
Required VRAM	16.6 GB
Updated	2026-10-30
Maintainer	xiaomi-research
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.7 GB: 4-of-4
Supported Languages	zh
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	4.55.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the ProactiveMobile Qwen2.5 VL 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

Best Alternatives to ProactiveMobile Qwen2.5 VL 7B

Best Alternatives	Context / RAM	Downloads	Likes
OmniLong Qwen2.5 VL 7B	512K / 16.6 GB	7	2
Qwen2.5 VL 7B Instruct	125K / 16.7 GB	8740905	1666
OlmOCR 2 7B 1025 FP8	125K / 10 GB	540426	253
OlmOCR 2 7B 1025	125K / 16.6 GB	244728	157
RolmOCR	125K / 16.6 GB	224280	589
Back2Struct Image2SVG 7B	125K / 16.6 GB	47	2
Qwen2.5 VL 7B Instruct FP4	125K / 7.2 GB	49165	3
FaithEyes 7B RL	125K / 16.6 GB	26	0
Cosmos Reason1 7B	125K / 16.6 GB	62913	244
ICM R2	125K / 16.6 GB	27	4

Note: green Score (e.g. "73.2") means that the model is better than xiaomi-research/ProactiveMobile-Qwen2.5-VL-7B.