What are the hardware requirements for EvoCUA 8B 20260105?

EvoCUA 8B 20260105 requires approximately 17.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EvoCUA 8B 20260105 and how large is it?

EvoCUA 8B 20260105 is developed by meituan, 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 EvoCUA 8B 20260105?

EvoCUA 8B 20260105 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EvoCUA 8B 20260105 by meituan — VRAM 17.5GB

Name: EvoCUA 8B 20260105
Author: meituan

EvoCUA 8B 20260105 is an open-source language model by meituan. Features: 8b LLM, VRAM: 17.5GB, License: apache-2.0, LLM Explorer Score: 0.26.

Arxiv:2509.02544 Arxiv:2511.21631 Arxiv:2601.15876 Arxiv:2602.08235 Computer-use En Gui-agent Multimodal Osworld Qwen3 vl Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/meituan/EvoCUA-8B-20260105

EvoCUA 8B 20260105 Parameters and Internals

LLM Name	EvoCUA 8B 20260105
Repository 🤗	https://huggingface.co/meituan/EvoCUA-8B-20260105
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-07-30
Maintainer	meituan
Model Type	qwen3_vl
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 2.7 GB: 4-of-4
Supported Languages	en zh
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the EvoCUA 8B 20260105 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 EvoCUA 8B 20260105

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Holo2 8B	0K / 17.5 GB	1924	30
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
Qwen3vl Resume Parser	0K / 17.5 GB	257455	3
Qwen3 VL 8B Thinking	0K / 17.5 GB	107015	220
Qwen3 VL 8B Heretic 1.3.0	0K / 17.5 GB	4653	12
Om Logistics Pod New V0	0K / 17.5 GB	190	0
ArmorOCR	0K / 17.5 GB	195	9
UI Venus 1.5 8B	0K / 17.5 GB	8435	29
Zhimu 1.0	0K / 18.6 GB	189	3

Note: green Score (e.g. "73.2") means that the model is better than meituan/EvoCUA-8B-20260105.