What are the hardware requirements for SpatialCLI 8B?

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

Who developed SpatialCLI 8B and how large is it?

SpatialCLI 8B is developed by ZYT-MFM, 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 SpatialCLI 8B?

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

SpatialCLI 8B by ZYT-MFM — VRAM 17.5GB

Name: SpatialCLI 8B
Author: ZYT-MFM

SpatialCLI 8B is an open-source language model by ZYT-MFM. Features: 8b LLM, VRAM: 17.5GB, License: mit.

Arxiv:2607.27703 Conversational Endpoints compatible Image-text-to-text Qwen3 vl Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ZYT-MFM/SpatialCLI-8B

SpatialCLI 8B Parameters and Internals

LLM Name	SpatialCLI 8B
Repository 🤗	https://huggingface.co/ZYT-MFM/SpatialCLI-8B
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-08-09
Maintainer	ZYT-MFM
Model Type	qwen3_vl
Model Files	17.5 GB
Model Architecture	Qwen3VLForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.5.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the SpatialCLI 8B 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 SpatialCLI 8B

Best Alternatives	Context / RAM	Downloads	Likes
Holo2 8B	0K / 17.5 GB	1924	30
UI Venus 1.5 8B	0K / 17.5 GB	8435	29
MAI UI 8B	0K / 17.6 GB	2224	199
ZwZ 8B	0K / 17.6 GB	2586	48
EvoCUA 8B 20260105	0K / 17.5 GB	4417	16
Karakuri Vl 2 8B Thinking 2603	0K / 17.5 GB	64	5
Qwen3 VL 8B Instruct Bf16	0K / 17.6 GB	127	3
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
... Simple Path Dense S100 Step90	0K / 17.5 GB	13	1
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037

Note: green Score (e.g. "73.2") means that the model is better than ZYT-MFM/SpatialCLI-8B.